Daniel Atherton, an associate professor at UAB, collaborated with colleagues at the Institute for Biomedical Innovation to create WoundX, an artificial intelligence software tool for classifying gunshot wounds. The programme is designed to augment forensic pathologists' decision-making by acting as a quality assurance measure to minimise human errors. It assists in determining whether a gunshot wound is an entrance or exit point and estimating the distance from a weapon to a victim, findings that carry important legal implications. Initiated in 2023 as Atherton's graduate capstone project, the software was developed alongside project adviser Sandeep Bodduluri and doctoral student Stephanie Marie Aguilera Cueto. Within the team, Atherton oversaw the clinical components while Aguilera Cueto managed technical logistics.

Background: Gunshot and Acoustic Detection

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