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In the Rhône Valley's Middle Neolithic gathering site of Saint-Paul-Trois-Châteaux (France), the positioning of two females within a structure aligned with the solstices is atypical. Their placement (back and prone) under the overhang of a silo in front of a third in a central position suggests a ritualized form of homicidal ligature strangulation. The first occurrence dates back to the Mesolithic, and it is from the Early Neolithic of Central Europe that the practice expands, becoming a sacrificial rite associated with an agricultural context in the Middle Neolithic. Examining 20 cases from 14 sites spanning nearly two millennia from Eastern Europe to Catalonia reveals the evolution of this ritual murder practice. [ABSTRACT FROM AUTHOR]

The diagnosis of drowning is one of the most difficult tasks in forensic medicine. The diatom test is a complementary analysis method that may help the forensic pathologist in the diagnosis of drowning and the localization of the drowning site. This test consists in detecting or identifying diatoms, unicellular algae, in tissue and water samples. In order to observe diatoms under light microscopy, those samples may be digested by enzymes such as proteinase K. However, this digestion method may leave high amounts of debris, leading thus to a difficult detection and identification of diatoms. To the best of our knowledge, no model is proved to detect and identify accurately diatom species observed in highly complex backgrounds under light microscopy. Therefore, a novel method of model development for diatom detection and identification in a forensic context, based on sequential transfer learning of object detection models, is proposed in this article. The best resulting models are able to detect and identify up to 50 species of forensically relevant diatoms with an average precision and an average recall ranging from 0.7 to 1 depending on the concerned species. The models were developed by sequential transfer learning and globally outperformed those developed by traditional transfer learning. The best model of diatom species identification is expected to be used in routine at the Medicolegal Institute of Paris. [ABSTRACT FROM AUTHOR]

Forensic medicine is a thriving application field for artificial intelligence (AI). Indeed, AI applications intended to forensic pathologists or forensic physicians have emerged since the last decade. For example, AI models were developed to help estimate the biological age of migrants or human remains. However, the uses of AI applications by forensic pathologists or physicians and their levels of integration in medicolegal practices are not well described yet. Therefore, a scoping review was conducted on PubMed, ScienceDirect, and Scopus databases. This review included articles that mention any AI application used by forensic pathologists or physicians in practice or any AI model applied in one expertise field of the forensic pathologist or physician. Articles in other languages than English or French or dealing mainly with complementary analyses handled by experts who are not forensic pathologists or physicians or with AI to analyze data for research purposes in forensic medicine were excluded from this review. All the relevant information was retrieved in each article from a grid analysis derived and adapted from the TRIPOD checklist. This review included 35 articles and revealed that AI applications are developed in thanatology and in clinical forensic medicine. However, those applications seem to mainly remain in research and development stages. Indeed, the use of AI applications by forensic pathologists or physicians is not actual due to issues discussed in this article. Finally, the integration of AI in daily medicolegal practice involves not only forensic pathologists or physicians but also legal professionals. [ABSTRACT FROM AUTHOR]

The European Council of Legal Medicine (ECLM) is the body established in 1992 to represent practitioners forensic & legal medicine and is composed of delegates of the countries of the European Union (EU) and from other countries which form part of Europe to a current total of 34 member countries. The aims of this study were to determine the current status of undergraduate forensic & legal medicine teaching in the curriculum of medical studies in ECLM countries and to use the results of this study to determine whether it would be appropriate to develop new guidelines and standards for harmonising the content of undergraduate forensic medicine training across ECLM member countries. A detailed questionnaire was sent to all individuals or organisations listed on the ECLM contact database. Responses were received from 21 of 33 countries on the database. These responses showed considerable emphasis on undergraduate teaching of forensic medicine in all countries with the exception of Belgium and the United Kingdom. There was great general consistency in the subjects taught. The data from this survey provide a baseline which should assist in developing a strategy to harmonise forensic & legal medicine undergraduate training in member countries of the ECLM. The ECLM is now in a good position to establish a pan-European working group to coordinate a consensus document identifying an appropriate and modern core undergraduate forensic medicine curriculum that can be presented to the medical education authorities in each country, and which can be adapted for local requirements, based on available personnel, the forensic medicine structure in the country, and most importantly, the needs of the local population. [ABSTRACT FROM AUTHOR]