Using AI for Better Forensic Bruise Analysis

Researchers in Mason’s College of Health and Human Services and Volgenau School of Engineering received a $988,559 grant from the U.S. Department of Justice, Office of Justice Programs, for a three-year study pairing forensic bruise analysis with machine learning.

School of Nursing Assistant Professor Katherine Scafide, Director of the Machine Learning and Inference Laboratory Janusz Wojtusiak, and Associate Professor in the Department of Civil, Environmental, and Infrastructure Engineering David Lattanzi are continuing their work on forensic bruise analysis on diverse skin tones with this new grant.

Law enforcement and legal professionals often rely on the accuracyIn scientific and measurement contexts, "accuracy" refers to the degree of proximity or closeness between a measured value and the true or actual value of the measured quantity. Accuracy indicates how well a measurement reflects Read Full Definition and interpretation of injury documentation to inform their decisions; however, current bruise assessments provide little reliable dataInformation in analog or digital form that can be transmitted or processed. Read Full Definition that can be used.

“Image analysis using deep learning, a sub-domain of machine learning, has demonstrated significant benefits in accuracy and reliability within health care; yet few studies have applied these techniques to the forensic analysis of injuries,” said Scafide, the principal investigator. “Our new study seeks to use deep learning to help improve our understanding of how bruises appear over time on diverse skin tones. The results will have broad implications for forensic clinical practice, criminal justice response, and future research.”

The team will develop a new, quantitative approach to identify the age of a bruise using deep learning models while determining its reliability and accuracy. Additionally, the team will develop a secure, searchable platform to store digital bruise images providing a comprehensive look at the healing process across diverse skin tones. The platform will integrate deep learning modeling and support future research and collaboration within the forensic scienceDiscover the fascinating field of Forensic Science, the application of scientific principles to legal matters. This post delves into its many disciplines, from DNA analysis to crime scene investigation, its importance in the justice system, Read Full Definition community.

“There is great potential for machine learning to support and improve forensic nursing techniques and reporting. Machine learning helps solve complex problems, and in forensic nursing, it can aid in the understanding of bruise tones over time,” said Wojtusiak.

This research directly builds off a 2019 Summer Impact Grant that the research team received from the Mason Provost Office. “This new grant from the Justice Department exemplifies how we were able to turn a multidisciplinary and collaborative research-learning experience for undergraduates into a federally-funded and impactful research project that can benefit the health and well-being of vulnerable populations,” said Scafide.