UF researchers test AI to support cat cruelty investigations

University of Florida researchers are using artificial intelligence to strengthen veterinary forensic investigations involving cats. In a February 2026 University of Florida report, forensic pathologist Dr. Adam Stern and AI researcher Dr. Jon Kim said they collaborated on a tool designed to identify patterns that may help determine whether a human was involved in a cat’s death. The work builds on UF’s “A Cat Has No Name” program, which investigates deaths of free-roaming cats and supports suspected cruelty cases with forensic evidence for law enforcement. (animalforensics.vetmed.ufl.edu)

Why it matters: For veterinary professionals, the project points to a more data-driven approach to animal cruelty investigations, an area where cause-of-death determinations can be difficult and where many free-roaming cats might otherwise never receive a forensic workup. UF says the program is meant not only to document mortality patterns, but also to train veterinary learners and provide evidence when criminal investigation is warranted. That fits with broader veterinary forensic trends, including use of imaging, toxicology, and structured postmortem review to distinguish trauma, poisoning, fire-related death, and other causes that may indicate abuse. (animalforensics.vetmed.ufl.edu)

What to watch: Watch for validation data, publication of the AI model’s methods, and signs that UF’s approach expands into routine case triage or law-enforcement partnerships. (animalforensics.vetmed.ufl.edu)