Pathology in Autopsy: From Ancient to Modern Era | Book Publisher International

 

The prime focus of this book is to make understand the basic pathology in the form of gross and microscopic findings in pathological and medicolegal autopsy cases. How these findings make sense when coupled with sound knowledge of pathogenesis was discussed in depth. A comprehensive review of all the factors that affect the pathological findings has been enumerated in detail. This book depicts the pathological spectrum of four major organ system in the form of various gross and histopathological pictures of diseases with their key points. A significant part of the book is about the ancient forensic practice in India. Book was written for a lucid and crisp understanding of the subject, excellent for the orientation. All the essential points of the book have been given followed by the examination questions. It will be a hand book for the postgraduate students of pathology, forensic medicine and for the students of Agad Tnatra from the Ayurvedic stream.

 

Author(s) Details

Dr. Arvind Kumar
Additional Professor, Department of Pathology and Laboratory Medicine, AIIMS, Rishikesh, Dehradun, Uttarakhand – 249203, India.

 

Dr. Dezy Singh
Govt. Medical Officer, Ayurvedic & Unani Services Govt. of Uttarakhand, India.

 

Dr. R. C. Tiwari
Prof. and HOD, Department of Agad Tantra Evum Vidhi Vaidyak, UAU, Rishikul, Campus, Haridwar, Uttarakhand, PIN-249401, India.

 

 

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-81-991363-3-5

 

Recent Advances in Forensic Medicine: An Overview | Chapter 12 | Medical Science: Recent Advances and Applications Vol. 3

Forensic medicine has undergone transformative advancements, integrating cutting-edge technologies that significantly enhance the precision, efficiency, and scope of medico-legal investigations. Innovations such as Virtopsy, robotic systems, and AI-based technologies have redefined postmortem analysis and crime scene reconstruction, enhancing precision and minimising human bias. Rapid and mobile DNA platforms provide immediate identification benefits in time-sensitive contexts such as mass disasters and border security. AI-driven algorithms further augment DNA mixture interpretation, phenotype prediction, and automated evidence evaluation. Despite these advancements, it is imperative to ensure rigorous validation, standardisation, and ethical scrutiny to maintain evidentiary reliability within judicial systems. In this article, these recent innovations, emphasising their impact on forensic investigations and the need for robust validation, were explored to ensure their admissibility in legal proceedings. Forensic medicine has undergone transformative advancements, integrating cutting-edge technologies that significantly enhance the precision, efficiency, and scope of medico-legal investigations. Innovations such as Virtopsy, robotic systems, and AI-based technologies have redefined postmortem analysis and crime scene reconstruction, enhancing precision and minimising human bias. Rapid and mobile DNA platforms provide immediate identification benefits in time-sensitive contexts like mass disasters and border security. AI-driven algorithms further augment DNA mixture interpretation, phenotype prediction, and automated evidence evaluation. Despite these advancements, it is imperative to ensure rigorous validation, standardisation, and ethical scrutiny to maintain evidentiary reliability within judicial systems. In this article, we explore these recent innovations, highlighting their impact on forensic investigations and emphasising the need for robust validation to ensure their admissibility in legal proceedings.

 

Author (s) Details

Surya Kiran Panga
Department of Forensic Medicine, All India Institute of Medical Sciences, New Delhi, India.

 

Balaji D
Department of Forensic Medicine, All India Institute of Medical Sciences, New Delhi, India.

 

Harshita Dubey
Lab Oncology, Dr. BRA Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India.

 

Shivam Dwivedi

Department of Forensic Science, Chandigarh University, Mohali, Punjab, India.

 

Abhishek Yadav
Department of Forensic Medicine, All India Institute of Medical Sciences, New Delhi, India.

 

Gunvanti B. Rathod
Department of Pathology and Lab Medicine, All India Institute of Medical Sciences (AIIMS), Bibinagar, Hyderabad, India.

 

Gyanendra Singh
Department of Pathology, All India Institute of Medical Sciences, Rajkot, Gujarat, India.

 

Amar Ranjan
Lab Oncology, Dr. BRA Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India.

 

Shilpa Anupurba
Department of Pathology, IMS & SUM Hospital, SOA University, Bhubaneswar, India.

 

Anil Sharma
Department of Pathology, All India Institute of Medical Sciences, New Delhi, India.

 

Garima Anandani
Department of Pathology, All India Institute of Medical Sciences, Rajkot, Gujarat, India.

 

Gyanendra S Mittal
Department of Surgery, Rama Medical College, Hospital and Research Centre, Hapur, U.P, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/msraa/v3/5394

Big Data-Artificial Intelligence as a Systemic Procedure in the Field of Legal and Forensic Medicine | Chapter 7 | Science and Technology: Developments and Applications Vol. 6

The combination of Big Data (BD), Artificial Intelligence (AI) and Systemic Procedure (SP) constitutes a transversal technological approach focused on improving decision-making in the field of Medicine and, in particular, of Legal and Forensic Medicine. It is advisable that medical professionals become increasingly involved in the knowledge of new concepts, technologies and tools that are becoming increasingly essential for daily work. The terms Big Data and Artificial Intelligence are increasingly used, seeking a symbiosis between them. If we add to these terms the term Systemic Procedure, we have the necessary concepts to approach any field with greater efficiency.

In recent years, Big Data in Medicine has become a phenomenon and the field of Legal and Forensic Medicine could not be left out. The complexity of the data processed in this field is evident and, therefore, requires special treatment. The application of Artificial Intelligence to forensic sciences is increasingly less questionable since reliable, verifiable and reproducible results are obtained. The characteristics (the V’s) with which Big Data is endowed are those that define it. The sequence of characteristics continues: 3, 5, 7, 9. We will focus on the development of Big Data through seven characteristics (7 V’s).

The concepts (BD) and (AI) must go hand in hand with the growth of the greater computational capacity that is being developed and the improvement of the algorithms used.

The objective of this article is to analyze, from a theoretical point of view, Big Data (BD) and Artificial Intelligence (AI) within the field of Legal and Forensic Medicine as a Systemic Procedure (SP) with a holistic perspective. Implementing Fig. 2 through algorithms of both Big Data and Artificial Intelligence with a Systemic Procedure structure will help decision-making in general and, in particular, in the field of Legal and Forensic Medicine.

 

Author (s) Details

 

Elena Martín Pérez
Department of Medicine, University of Salamanca, Salamanca, Spain.

 

Quintín Martín Martín
Department of Medicine, University of Salamanca, Salamanca, Spain.

 

 Please see the book here:- https://doi.org/10.9734/bpi/stda/v6/4494

 Community/public participation in medico-legal matters serves as a benchmark for health determinants and high-quality integrated services in the area of criminal justice assistance for health. Unclaimed bodies or missing dead persons (UCBOMDPs) occur in about 44 million cases worldwide each year, with 88 percent of these cases occurring in Sub-Saharan Africa. UCBOMDPs from road traffic accidents account for 30% and 10% of all UCBOMDPs in western Kenya and Kenya, respectively. 80% of these UCBOMDPs are associated with limited community participation / next of kin in UCBOMDP identification, resulting in a chronic prevalence of occupational health and safety hazards in public mortuaries. The goal of the study was to determine the extent of community participation, uptake of community mortuary services, and awareness of quality medico-legal concepts, training, and embalming, as well as to determine how service providers' knowledge, attitude, and practices (KAP) influence the uptake of medico-legal concepts to reduce occupational health and safety hazards and improve health. Purposive and saturation sampling were used to obtain data from 235 respondents in exploratory and cross-sectional studies. Structured questionnaires, focus group discussions (FGDs), observations, and key informant interviews (KII) guides were used to collect data. 94 percent of mortuary service providers in tier 4 were primary and secondary education dropouts of males, on contract jobs with limited access to quality forensic in mortuary science, in contrast to trained females and males counterparts from tiers 5 and 6 mortuary facilities on permanent jobs, according to statistical inferences and content analysis to saturation. Embalming with gravity has a substantial OD (1.2, 0.44). Males admitted as UCBOMDPs in the community had a significant prevalence, with OD (8.3, 0.12), RR (0.33), 95 percent CI (1.23, 1.02), Males knowingly leaving IDs in dwellings for anonymity were linked to relevance. Detective police with OD (0.43, 6.0), 95 percent CI, had more community participation in medico-legal ideas (2.12, 1.34). Advocacy for comprehensive and complete community empowerment in medico-legal principles is still critical.

Author (s) Details

Maurice B. Silali
Department of Human Anatomy, School of Medicine, Maseno University, Kenya.

W. Odero
Department of Family Medicine, Maseno University, Kenya.

E. Rogena
Department of Anatomic Pathology, School of Medicine, Jomo Kenyatta University of Science and Technology, Kenya.

View Book :- https://stm.bookpi.org/HMMS-V1/article/view/1174