A mechanics-informed machine learning framework for traumatic brain injury prediction in police and forensic investigations.

ABSTRACT: Police forensic investigations are not immune to our society's ubiquitous search for better predictive ability. In the particular and very topical case of Traumatic Brain Injury (TBI), police forensic investigations aim at evaluating whether a given impact or assault scenario led to the clinically observed TBI. This question is traditionally answered by means of forensic biomechanics and neurosurgical expertise which cannot provide a fully objective probabilistic measure. To this end, we propose here a numerical framework-based solution coupling biomechanical simulations of a variety of injurious impacts to machine learning training of police reports provided by the UK's Thames Valley Police and the National Crime Agency's National Injury Database. In this approach, the biomechanical predi

SUBMITTER: Wei Y 

PROVIDER: S-EPMC11865601 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature