搜索结果：Pathology and Forensic Medicine

CONTENTS: Accident Investigation (a) Aircraft. Accident Investigation (b) Motor vehicle (including biomechanics of injuries). Accident Investigation (c) Rail. Accident Investigation (d) Reconstruction. Accident Investigation (e) Airbag related injuries and deaths. Accident Investigation (f) Determination of cause. Accident Investigation (g) Driver versus passenger in motor vehicle collisions. Accident Investigation (h) Tachographs. Accreditation of Forensic Science Laboratories. Administration of Forensic Science (a) An international perspective. Administration of Forensic Science (b) Organisation of laboratories. Alcohol (a) Blood. Alcohol (b) Body fluids. Alcohol (c) Breath. Alcohol (d) Post-mortem. Alcohol (e) Interpretation. CONTENTS: Alcohol (f) Congener analysis. Analytical Techniques (a) Separation techniques. Analytical Techniques (b) Microscopy. Analytical Techniques (c) Spectroscopy. Analytical Techniques (d) Mass spectrometry. Anthropology: Archaeology. Anthropology: Skeletal Analysis (a) Overview. Anthropology: Skeletal Analysis (b) Morphological age estimation. Anthropology: Skeletal Analysis (c) Sex determination. Anthropology: Skeletal Analysis (d) Determination of racial affinity. Anthropology: Skeletal Analysis (e) Excavation/retrieval of forensic remains. Anthropology: Skeletal Analysis (f) Bone pathology and ante-mortem trauma in forensic cases. Anthropology: Skeletal Analysis (g) Skeletal trauma. Anthropology: Skeletal Analysis (h) Animal effects on human remains. Anthropology: Skeletal Analysis (i) Assessment of occupational stress. Anthropology: Skeletal Analysis (j) Stature estimation from the skeleton. Art and Antique Forgery and Fraud. Autoerotic Death. Basic Principles of Forensic Science. Biochemical Analysis (a) Capillary electrophoresis in forensic science. Biochemical Analysis (b) Capillary electrophoresis in forensic biology. Blood Identification. Blood Stain Pattern Analysis and Interpretation. Causes of Death (a) Post-mortem changes. Causes of Death (b) Sudden natural death. Causes of Death (c) Blunt injury. Causes of Death (d) Sharp injury. Causes of Death (e) Gunshot wounds. Causes of Death (f) Asphyctic deaths. Causes of Death (g) Burns and scalds. Causes of Death (h) Traffic deaths. Causes of Death (i) Systemic response to trauma. Causes of Death (j) Poisonings. Cheiloscopy. Clinical Forensic Medicine (a) Overview. Clinical Forensic Medicine (b) Defence wounds. Clinical Forensic Medicine (c) Self-inflicted injury. Clinical Forensic Medicine (d) Child abuse. Clinical Forensic Medicine (e) Sexual assault and semen persistence. Clinical Forensic Medicine (f) Evaluation of gunshot wounds. Clinical Forensic Medicine (g) Recognition of pattern injuries in domestic violence victims. Computer Crime. Credit Cards: Forgery and Fraud. Crime-Scene Investigation and Examination (a) Recording. Crime-Scene Investigation and Examination (b) Collection and chain of evidence. Crime-Scene Investigation and Examination (c) Recovery. Crime-Scene Investigation and Examination (d) Packaging. Crime-Scene Investigation and Examination (e) Preservation. Crime-Scene Investigation and Examination (f) Contamination. Crime-Scene Investigation and Examination (g) Fingerprints. Crime-Scene Investigation and Examination (h) Suspicious deaths. Crime-Scene Investigation and Examination (i) Major incident scene management. Crime-Scene Investigation and Examination (j) Serial and series crimes. Crime-Scene Investigation and Examination (k) Scene analysis/reconstruction. Crime-Scene Investigation and Examination (l) Criminal analysis. Crime-Scene Investigation and Examination (m) Decomposing and skeletonized cases. Criminal Profiling. Criminalistics. Detection of Deception. Disaster Victim Identification. DNA (a) Basic principles. DNA (b) RFLP. DNA (c) PCR. DNA (d) PCR-STR. DNA (e) Future analytical techniques. DNA (f) Paternity testing. DNA (g) Significance. DNA (h) Mitochondrial. Document Analysis (a) Handwriting. Document Analysis (b) Analytical methods. Document Analysis (c) Forgery and counterfeits. Document Analysis (d) Ink analysis. Document Analysis (e) Printer types. Document Analysis (f) Document dating. Drugs of Abuse (a) Blood. Drugs of Abuse (b) Body fluids. Drugs of Abuse (c) Ante-mortem. Drugs of Abuse (d) Post-mortem. Drugs of Abuse (e) Drugs and driving. Drugs of Abuse (f) Urine. Drugs of Abuse (g) Hair. Drugs of Abuse (h) Methods of analysis. Drugs of Abuse (i) Designer drugs. Dust. Ear Prints. Education, An International Perspective. Electronic Communication and Information. Entomology. Ethics. Evidence (a) Classification of evidence. Evidence (b)The philosophy of sequential analysis. Evidence (c) Statistical interpretation of evidence/Bayesian analysis. Expert Witnesses, Qualifications and Testimony. Explosives, Methods of Analysis. Facial Identification (a) The lineup, mugshot search and composite. Facial Identification (b) Photo image identification. Facial Identification (c) Computerized facial reconstruction. Facial Identification (d) Skull-photo superimposition. Facial Identification (e) Facial tissue thickness in facial reconstruction. Fibres (a) Types. Fibres (b) Transfer and persistence. Fibres (c) Recovery. Fibres (d) Identification and comparison. Fibres (e) Significance. Fingerprints (Dactyloscopy) (a) Visualisation. Fingerprints (Dactyloscopy) (b) Sequential treatment and enhancement. Fingerprints (Dactyloscopy) (c) Identification and classification. Fingerprints (Dactyloscopy) (d) Standards of proof. Fingerprints (Dactyloscopy) (e) Chemistry of print residue. Fire Investigation (a) Types of fire. Fire Investigation (b) Physics/Thermodynamics. Fire Investigation (c) Chemistry of fire. Fire Investigation (d) The fire scene. Fire Investigation (e) Evidence recovery. Fire Investigation (f) Fire scene patterns. Fire Investigation (g) The laboratory. Firearms (a) Types of weapons and ammunitions. Firearms (b) Range and penetration. Firearms (c) CS Gas. Firearms (df) Humane killing tools. Firearms (e) Laboratory analysis. Forensic Anthropology. Forensic Engineering. Forensic Nursing. Forensic Psycholinguistics. Forensic Toxicology (a) Overview. Forensic Toxicology (b) Methods of analysis - ante-mortem. Forensic Toxicology (c) Methods of analysis - post-mortem. Forensic Toxicology (d) Interpretation of results. Forensic Toxicology (e) Inhalants. Forensic Toxicology (f) Equine drug testing. Forgery and Fraud (a) Overview (including counterfeit currency). Forgery and Fraud (b) Auditing and accountancy. Gas Chromatography, Methodology in Forensic Sciences. Genetics (a) Serology. Genetics (b) DNA - statistical probability. Glass. Hair (a) Background. Hair (b) Hair transfer, persistence and recovery. Hair (c) Identification of human and animal hair. Hair (d) Microscopic comparison. Hair (e) Other comparison methods. Hair (f) Significance of hair evidence. Hair (g) DNA typing. Health and Safety (including Risk Assessment). History (a) Crime scene sciences. History (b) Fingerprint sciences. Identification/Individualization, Overview and Meaning. Investigative Psychology. Legal Aspects of Forensic Science. Lie Detection (Polygraph). Literature and the Forensic Sciences (a) Resources. Literature and the Forensic Sciences (b) Fiction. Microchemistry. Modus Operandi. Odontology. Offender Signature. Paints and Coatings: Commercial, Domestic and Automotive. Pathology (a) Overview. Pathology (b) Victim recovery. Pathology (c) Autopsy. Pathology (d) Preservation of evidence. Pathology (e) Post-mortem changes. Pathology (f) Post-mortem interval. Pattern Evidence (a) Footmarks (footwear). Pattern Evidence (b) Footmarks (bare footprints). Pattern Evidence (c) Shotgun ammunition on a target. Pattern Evidence (d) Tools. Pattern Evidence (e) Plastic bag striations. Pattern Evidence (f) Serial number. Pharmacology. Post-Mortem Examination, Procedures and Standards. Psychological Autopsies. Psychology and Psychiatry (a) Overview. Psychology and Psychiatry (b) Psychiatry. Psychology and Psychiatry (c) Psychology. Quality Assurance/Control. Serial Killing. Soil and Geology. Stalking. Statistical Interpretation of Evidence. Time Factor Analysis. Voice Analysis. Wildlife. Wood Analysis.

PURPOSE OF THE STATEMENT: ▸ To provide an evidence-based, best practises summary to assist physicians with the evaluation and management of sports concussion. ▸ To establish the level of evidence, knowledge gaps and areas requiring additional research. IMPORTANCE OF AN AMSSM STATEMENT: ▸ Sports medicine physicians are frequently involved in the care of patients with sports concussion. ▸ Sports medicine physicians are specifically trained to provide care along the continuum of sports concussion from the acute injury to return-to-play (RTP) decisions. ▸ The care of athletes with sports concussion is ideally performed by healthcare professionals with specific training and experience in the assessment and management of concussion. Competence should be determined by training and experience, not dictated by specialty. ▸ While this statement is directed towards sports medicine physicians, it may also assist other physicians and healthcare professionals in the care of patients with sports concussion. DEFINITION: ▸ Concussion is defined as a traumatically induced transient disturbance of brain function and involves a complex pathophysiological process. Concussion is a subset of mild traumatic brain injury (MTBI) which is generally self-limited and at the less-severe end of the brain injury spectrum. PATHOPHYSIOLOGY: ▸ Animal and human studies support the concept of postconcussive vulnerability, showing that a second blow before the brain has recovered results in worsening metabolic changes within the cell. ▸ Experimental evidence suggests the concussed brain is less responsive to usual neural activation and when premature cognitive or physical activity occurs before complete recovery the brain may be vulnerable to prolonged dysfunction. INCIDENCE: ▸ It is estimated that as many as 3.8 million concussions occur in the USA per year during competitive sports and recreational activities; however, as many as 50% of the concussions may go unreported. ▸ Concussions occur in all sports with the highest incidence in football, hockey, rugby, soccer and basketball. RISK FACTORS FOR SPORT-RELATED CONCUSSION: ▸ A history of concussion is associated with a higher risk of sustaining another concussion. ▸ A greater number, severity and duration of symptoms after a concussion are predictors of a prolonged recovery. ▸ In sports with similar playing rules, the reported incidence of concussion is higher in female athletes than in male athletes. ▸ Certain sports, positions and individual playing styles have a greater risk of concussion. ▸ Youth athletes may have a more prolonged recovery and are more susceptible to a concussion accompanied by a catastrophic injury. ▸ Preinjury mood disorders, learning disorders, attention-deficit disorders (ADD/ADHD) and migraine headaches complicate diagnosis and management of a concussion. DIAGNOSIS OF CONCUSSION: ▸ Concussion remains a clinical diagnosis ideally made by a healthcare provider familiar with the athlete and knowledgeable in the recognition and evaluation of concussion. ▸ Graded symptom checklists provide an objective tool for assessing a variety of symptoms related to concussions, while also tracking the severity of those symptoms over serial evaluations. ▸ Standardised assessment tools provide a helpful structure for the evaluation of concussion, although limited validation of these assessment tools is available. SIDELINE EVALUATION AND MANAGEMENT: ▸ Any athlete suspected of having a concussion should be stopped from playing and assessed by a licenced healthcare provider trained in the evaluation and management of concussions. ▸ Recognition and initial assessment of a concussion should be guided by a symptoms checklist, cognitive evaluation (including orientation, past and immediate memory, new learning and concentration), balance tests and further neurological physical examination. ▸ While standardised sideline tests are a useful framework for examination, the sensitivity, specificity, validity and reliability of these tests among different age groups, cultural groups and settings is largely undefined. Their practical usefulness with or without an individual baseline test is also largely unknown. ▸ Balance disturbance is a specific indicator of a concussion, but not very sensitive. Balance testing on the sideline may be substantially different than baseline tests because of differences in shoe/cleat-type or surface, use of ankle tape or braces, or the presence of other lower extremity injury. ▸ Imaging is reserved for athletes where intracerebral bleeding is suspected. ▸ There is no same day RTP for an athlete diagnosed with a concussion. ▸ Athletes suspected or diagnosed with a concussion should be monitored for deteriorating physical or mental status. NEUROPSYCHOLOGICAL TESTING: ▸ Neuropsychological (NP) tests are an objective measure of brain-behaviour relationships and are more sensitive for subtle cognitive impairment than clinical exam. ▸ Most concussions can be managed appropriately without the use of NP testing. ▸ Computerised neuropsychological (CNP) testing should be interpreted by healthcare professionals trained and familiar with the type of test and the individual test limitations, including a knowledgeable assessment of the reliable change index, baseline variability and false-positive and false-negative rates. ▸ Paper and pencil NP tests can be more comprehensive, test different domains and assess for other conditions which may masquerade as or complicate assessment of concussion. ▸ NP testing should be used only as part of a comprehensive concussion management strategy and should not be used in isolation. ▸ The ideal timing, frequency and type of NP testing have not been determined. ▸ In some cases, properly administered and interpreted NP testing provides an added value to assess cognitive function and recovery in the management of sports concussions. ▸ It is unknown if use of NP testing in the management of sports concussion helps prevent recurrent concussion, catastrophic injury or long-term complications. ▸ Comprehensive NP evaluation is helpful in the post-concussion management of athletes with persistent symptoms or complicated courses. RETURN TO CLASS: ▸ Students will require cognitive rest and may require academic accommodations such as reduced workload and extended time for tests while recovering from a concussion. RETURN TO PLAY: ▸ Concussion symptoms should be resolved before returning to exercise. ▸ A RTP progression involves a gradual, step-wise increase in physical demands, sports-specific activities and the risk for contact. ▸ If symptoms occur with activity, the progression should be halted and restarted at the preceding symptom-free step. ▸ RTP after concussion should occur only with medical clearance from a licenced healthcare provider trained in the evaluation and management of concussions. SHORT-TERM RISKS OF PREMATURE RTP: ▸ The primary concern with early RTP is decreased reaction time leading to an increased risk of a repeat concussion or other injury and prolongation of symptoms. LONG-TERM EFFECTS: ▸ There is an increasing concern that head impact exposure and recurrent concussions contribute to long-term neurological sequelae. ▸ Some studies have suggested an association between prior concussions and chronic cognitive dysfunction. Large-scale epidemiological studies are needed to more clearly define risk factors and causation of any long-term neurological impairment. DISQUALIFICATION FROM SPORT: ▸ There are no evidence-based guidelines for disqualifying/retiring an athlete from a sport after a concussion. Each case should be carefully deliberated and an individualised approach to determining disqualification taken. EDUCATION: ▸ Greater efforts are needed to educate involved parties, including athletes, parents, coaches, officials, school administrators and healthcare providers to improve concussion recognition, management and prevention. ▸ Physicians should be prepared to provide counselling regarding potential long-term consequences of a concussion and recurrent concussions. PREVENTION: ▸ Primary prevention of some injuries may be possible with modification and enforcement of the rules and fair play. ▸ Helmets, both hard (football, lacrosse and hockey) and soft (soccer, rugby) are best suited to prevent impact injuries (fracture, bleeding, laceration, etc.) but have not been shown to reduce the incidence and severity of concussions. ▸ There is no current evidence that mouth guards can reduce the severity of or prevent concussions. ▸ Secondary prevention may be possible by appropriate RTP management. LEGISLATION: ▸ Legislative efforts provide a uniform standard for scholastic and non-scholastic sports organisations regarding concussion safety and management. FUTURE DIRECTIONS: ▸ Additional research is needed to validate current assessment tools, delineate the role of NP testing and improve identification of those at risk of prolonged post-concussive symptoms or other long-term complications. ▸ Evolving technologies for the diagnosis of concussion, such as newer neuroimaging techniques or biological markers, may provide new insights into the evaluation and management of sports concussion.

Part I. Two Sciences, One Objective Introduction to Forensic Anthropology Douglas H. Ubelaker Introduction to Forensic Medicine and Pathology Joao Pinheiro Forensic Anthropology and Forensic Pathology: The State of the Art Eugenia Cunha and Cristina Cattaneo Part II. Aging Living Young Individuals Biological vs Legal Age of Living Individuals Francesco Introna and Carlo P. Campobasso Part III. Pathophysiology of Death and Forensic Investigation: From Recovery to the Cause of Death Decay Process of a Cadaver Joao Pinheiro Understanding the Circumstances of Decomposition When the Body Is Skeletonized Henri Duday and Mark Guillon Forensic Investigation of Corpses in Various States of Decomposition: A Multidisciplinary Approach Joao Pinheiro and Eugenia Cunha Identification and Differential Diagnosis of Traumatic Lesions of the Skeleton Conrado Rodriguez-Martin Part IV. Biological Identity Methodology and Reliability of Sex Determination From the Skeleton Jaroslav Bruzek and Pascal Murail Age Assessment of Child Skeletal Remains in Forensic Contexts Mary E. Lewis and Ambika Flavel Determination of Adult Age at Death in the Forensic Context Eric Baccino and Aurore Schmitt Is It Possible to Escape Racial Typology in Forensic Identification? John Albanese and Shelley R. Saunders Estimation and Evidence in Forensic Anthropology: Determining Stature Lyle W. Konigsberg, Ann H. Ross, and William L. Jungers Pathology as a Factor of Personal Identity in Forensic Anthropology Eugenia Cunha Personal Identification of Cadavers and Human Remains Cristina Cattaneo, Danilo De Angelis, Davide Porta, and Marco Grandi Part V. Particular Contexts: Crimes Against Humanity and MassDisasters Forensic Investigations Into the Missing: Recommendations and Operational Best Practices Morris Tidball-Binz Crimes Against Humanity Dario M. Olmo Mass Disasters Cristina Cattaneo, Danilo De Angelis, and Marco Grandi Index

BACKGROUND: The integration of artificial intelligence (AI) into various fields has ushered in a new era of multidisciplinary progress. Defined as the ability of a system to interpret external data, learn from it, and adapt to specific tasks, AI is poised to revolutionize the world. In forensic medicine and pathology, algorithms play a crucial role in data analysis, pattern recognition, anomaly identification, and decision making. This review explores the diverse applications of AI in forensic medicine, encompassing fields such as forensic identification, ballistics, traumatic injuries, postmortem interval estimation, forensic toxicology, and more. RESULTS: A thorough review of 113 articles revealed a subset of 32 papers directly relevant to the research, covering a wide range of applications. These included forensic identification, ballistics and additional factors of shooting, traumatic injuries, post-mortem interval estimation, forensic toxicology, sexual assaults/rape, crime scene reconstruction, virtual autopsy, and medical act quality evaluation. The studies demonstrated the feasibility and advantages of employing AI technology in various facets of forensic medicine and pathology. CONCLUSIONS: The integration of AI in forensic medicine and pathology offers promising prospects for improving accuracy and efficiency in medico-legal practices. From forensic identification to post-mortem interval estimation, AI algorithms have shown the potential to reduce human subjectivity, mitigate errors, and provide cost-effective solutions. While challenges surrounding ethical considerations, data security, and algorithmic correctness persist, continued research and technological advancements hold the key to realizing the full potential of AI in forensic applications. As the field of AI continues to evolve, it is poised to play an increasingly pivotal role in the future of forensic medicine and pathology.

INTRODUCTION: Most findings of forensic pathology examinations are presented as written reports. There are currently no internationally accepted recommendations for writing forensic pathology reports. Existing recommendations are also varied and reflect the differences in the scope and role of forensic medical services and local settings in which they are to be implemented. The legal fact-finder thus faces wide variation in the quality of forensic pathology reports, which poses a threat to the reliability of legal decision-making. To address this issue, the development of the "PERFORM-P (Principles of Evidence-based Reporting in FORensic Medicine-Pathology version)" was undertaken. The goal of the PERFORM-P is to provide common practice recommendations adaptable to local requirements to promote evidence-based practice (EBP) in forensic pathology. METHODS: An international consensus study was conducted in three phases by (1) developing a long-list of items to be considered in the reporting recommendations, (2) conducting a Delphi process (an iterative survey method to transform individual opinions into group consensus) with international forensic pathologists, and (3) designing the PERFORM-P prototype and its accompanying manual. RESULTS: With assistance from 106 forensic pathologists/forensic medical practitioners from 41 countries, the PERFORM-P was developed. The PERFORM-P consists of a list of 61 items to be included in a forensic pathology report, which is accompanied by its Explanation and Elaboration (E&E) document. DISCUSSION: To prepare forensic pathology (postmortem) reports that incorporate principles of evidence-based practice, internationally accepted recommendations might be helpful. The PERFORM-P identifies recommendations for necessary elements to include in a forensic pathology report. PERFORM-P can be applied to a wide range of matters requiring forensic pathological analysis, acceptable to forensic pathologists from a representative selection of jurisdictions and medico-legal systems.

PART I: The Clinical Laboratory The Clinical Laboratory: Organization, Purpose and Practice Physician Office Laboratories (POLS) Principles of Instrumentation Clinical Laboratory Automation Interpreting Laboratory Results Informatics, Imaging and Interoperability Laboratory Statistics Clinical Laboratory Quality Assurance PART II: Clinical Chemistry Evaluation of Renal Function, Wather, Electrolytes, Acid-Base Balance and Blood Gases Metabolic Intermediates, Inorganic Ions and Biochemical Markers of Bone Metabolism Carbohydrates Lipids and Dyslipoproteinemia Specific Proteins Evaluation of Liver Function and Injury Clinical Enzymology Evaluation of Endocrine Function Toxicology and Therapeutic Drug Monitoring PART III: Urine and Other Body Fluids Basic Examination of Urine Cerebrospinal, Synovial, and Serious Body Fluids Andrology Laboratory and Fertility Assessment Laboratory Management of Assisted Reproductive Technology Laboratory Aspects of Gestation Management Laboratory Diagnosis of Gastrointestinal Tract and Pancreatic Disorders PART IV: Hematology, Coagulation and Transfusion Medicine Basic Examination of Blood Hematopoiesis Erythrocytic Disorders Leukocytic Disorders Blood Platelets Coagulation, Fibrinolysis and Hypercoagulation Immunohematology Transfusion Medicine Hemapheresis Tissue Banking and Progenitor Cell PART V: Immunology and Immunopathy Overview of the Immune System and Immunologic Disorders Immunoassays and Immunochemistry Laboratory Evaluation of the Cellular Immune System Laboratory Evaluation of Immunoglobin Function and Humoral Immunity Complement and Kinins: Mediators of Inflamation Cytokines and Adhesion Molecules HLA: The Major Histocompatability Complex of Man The Major Histocompatibility Complex and Disease Immunodeficiency Disorders Clinical and Laboratory Evaluation of Systemic Rheumatic Diseases Vasculitis Organ Specific Autoimmune Diseases Allergic Diseases Diagnosis and Management of Cancer Using Serologic Tumor Markers PART VI: Medical Microbiology Viral Infections Chlamydial, Rickettsial, and Mycoplasmal Infections Medical Microbiology In Vitro Testing of Antimicrobial Agents Spirochete Infections Mycobacteria Mycotic Diseases Medical Parasitology Molecular Pathology of Infectious Diseases Specimen Collection and Handling for Diagnosis of Infectious Diseases PART VII.: Molecular Pathology An Introduction to Molecular Pathology Molecular Diagnostics: Basic Principles and Techniques Polymerase Chain Reaction (PCR) and Other Amplification Technology Hybridization Array Technology Applications for Cytogenetics in Modern Pathology Establishing a Molecular Diagnostics Laboratory Oncoproteins and Early Tumor Detection Molecular Techniques in the Hematopoietic Neoplasms Molecular Diagnosis of Genetic Diseases Parentage Testing: Use of DNA Polymorphism and Other Genetic Markers Forensic Identity Testing by DNA Analysis

Medicine, including fields in healthcare and life sciences, has seen a flurry of quantum-related activities and experiments in the last few years (although biology and quantum theory have arguably been entangled ever since Schrödinger's cat). The initial focus was on biochemical and computational biology problems; recently, however, clinical and medical quantum solutions have drawn increasing interest. The rapid emergence of quantum computing in health and medicine necessitates a mapping of the landscape. In this review, clinical and medical proof-of-concept quantum computing applications are outlined and put into perspective. These consist of over 40 experimental and theoretical studies. The use case areas span genomics, clinical research and discovery, diagnostics, and treatments and interventions. Quantum machine learning (QML) in particular has rapidly evolved and shown to be competitive with classical benchmarks in recent medical research. Near-term QML algorithms have been trained with diverse clinical and real-world data sets. This includes studies in generating new molecular entities as drug candidates, diagnosing based on medical image classification, predicting patient pe

In the dynamic landscape of digital forensics, the integration of Artificial Intelligence (AI) and Machine Learning (ML) stands as a transformative technology, poised to amplify the efficiency and precision of digital forensics investigations. However, the use of ML and AI in digital forensics is still in its nascent stages. As a result, this paper gives a thorough and in-depth analysis that goes beyond a simple survey and review. The goal is to look closely at how AI and ML techniques are used in digital forensics and incident response. This research explores cutting-edge research initiatives that cross domains such as data collection and recovery, the intricate reconstruction of cybercrime timelines, robust big data analysis, pattern recognition, safeguarding the chain of custody, and orchestrating responsive strategies to hacking incidents. This endeavour digs far beneath the surface to unearth the intricate ways AI-driven methodologies are shaping these crucial facets of digital forensics practice. While the promise of AI in digital forensics is evident, the challenges arising from increasing database sizes and evolving criminal tactics necessitate ongoing collaborative researc

The Go programming language has become increasingly popular among malware developers due to its ability to produce statically linked, cross-platform executables that challenge traditional analysis techniques. These binaries embed a substantial runtime and compiler-generated metadata and are compiled with aggressive optimizations that discard type information for function parameters and local variables. Go's design further complicates analysis by representing strings as pointer-length pairs rather than null-terminated sequences, employing a caller-allocated stack model that obscures argument boundaries, and fragmenting program state across concurrent goroutines. Although existing static analysis and reverse engineering tools provide Go-specific support, they remain limited to compile-time artifacts and cannot recover runtime execution state and artifacts that persist solely in memory. To address this gap, we present the first memory forensics framework for runtime analysis of Go binaries. By parsing Go's internal structures, our framework reconstructs type and function metadata, recovers heap-allocated and static strings, and distinguishes application-level functions. Through ABI-aw

Cybercrime and the market for cyber-related compromises are becoming attractive revenue sources for state-sponsored actors, cybercriminals and technical individuals affected by financial hardships. Due to burgeoning cybercrime on new technological frontiers, efforts have been made to assist digital forensic investigators (DFI) and law enforcement agencies (LEA) in their investigative efforts. Forensic tool innovations and ontology developments, such as the Unified Cyber Ontology (UCO) and Cyber-investigation Analysis Standard Expression (CASE), have been proposed to assist DFI and LEA. Although these tools and ontologies are useful, they lack extensive information sharing and tool interoperability features, and the ontologies lack the latest Smart City Infrastructure (SCI) context that was proposed. To mitigate the weaknesses in both solutions and to ensure a safer cyber-physical environment for all, we propose the Smart City Ontological Paradigm Expression (SCOPE), an expansion profile of the UCO and CASE ontology that implements SCI threat models, SCI digital forensic evidence, attack techniques, patterns and classifications from MITRE. We showcase how SCOPE could present complex

What does Artificial Intelligence (AI) have to contribute to health care? And what should we be looking out for if we are worried about its risks? In this paper we offer a survey, and initial evaluation, of hopes and fears about the applications of artificial intelligence in medicine. AI clearly has enormous potential as a research tool, in genomics and public health especially, as well as a diagnostic aid. It's also highly likely to impact on the organisational and business practices of healthcare systems in ways that are perhaps under-appreciated. Enthusiasts for AI have held out the prospect that it will free physicians up to spend more time attending to what really matters to them and their patients. We will argue that this claim depends upon implausible assumptions about the institutional and economic imperatives operating in contemporary healthcare settings. We will also highlight important concerns about privacy, surveillance, and bias in big data, as well as the risks of over trust in machines, the challenges of transparency, the deskilling of healthcare practitioners, the way AI reframes healthcare, and the implications of AI for the distribution of power in healthcare ins

Computational Pathology CPath is an interdisciplinary science that augments developments of computational approaches to analyze and model medical histopathology images. The main objective for CPath is to develop infrastructure and workflows of digital diagnostics as an assistive CAD system for clinical pathology, facilitating transformational changes in the diagnosis and treatment of cancer that are mainly address by CPath tools. With evergrowing developments in deep learning and computer vision algorithms, and the ease of the data flow from digital pathology, currently CPath is witnessing a paradigm shift. Despite the sheer volume of engineering and scientific works being introduced for cancer image analysis, there is still a considerable gap of adopting and integrating these algorithms in clinical practice. This raises a significant question regarding the direction and trends that are undertaken in CPath. In this article we provide a comprehensive review of more than 800 papers to address the challenges faced in problem design all-the-way to the application and implementation viewpoints. We have catalogued each paper into a model-card by examining the key works and challenges fac

Forensic pathology is critical in determining the cause and manner of death through post-mortem examinations, both macroscopic and microscopic. The field, however, grapples with issues such as outcome variability, laborious processes, and a scarcity of trained professionals. This paper presents SongCi, an innovative visual-language model (VLM) designed specifically for forensic pathology. SongCi utilizes advanced prototypical cross-modal self-supervised contrastive learning to enhance the accuracy, efficiency, and generalizability of forensic analyses. It was pre-trained and evaluated on a comprehensive multi-center dataset, which includes over 16 million high-resolution image patches, 2,228 vision-language pairs of post-mortem whole slide images (WSIs), and corresponding gross key findings, along with 471 distinct diagnostic outcomes. Our findings indicate that SongCi surpasses existing multi-modal AI models in many forensic pathology tasks, performs comparably to experienced forensic pathologists and significantly better than less experienced ones, and provides detailed multi-modal explainability, offering critical assistance in forensic investigations. To the best of our knowled

Large language models (LLMs) have seen widespread adoption in many domains including digital forensics. While prior research has largely centered on case studies and examples demonstrating how LLMs can assist forensic investigations, deeper explorations remain limited, i.e., a standardized approach for precise performance evaluations is lacking. Inspired by the NIST Computer Forensic Tool Testing Program, this paper proposes a standardized methodology to quantitatively evaluate the application of LLMs for digital forensic tasks, specifically in timeline analysis. The paper describes the components of the methodology, including the dataset, timeline generation, and ground truth development. Additionally, the paper recommends using BLEU and ROUGE metrics for the quantitative evaluation of LLMs through case studies or tasks involving timeline analysis. Experimental results using ChatGPT demonstrate that the proposed methodology can effectively evaluate LLM-based forensic timeline analysis. Finally, we discuss the limitations of applying LLMs to forensic timeline analysis.