Rochester, Minn.-based Mayo Clinic has deployed roughly 150 AI models across its health system, CNN reported July 16.
The tally, according to Matthew Callstrom, MD, a radiologist and medical director of the health system’s generative AI program, spans tools built with partners including Microsoft and Scale AI, drawing on Mayo Clinic’s patient records and research.
One example, a documentation tool called Record Time, was developed with Scale AI to help physicians parse patient files before visits. Alexander Ryu, MD, an internal medicine physician and vice chair of innovation for Mayo Clinic’s Department of Medicine, told the publication the tool saves him five to 30 minutes of prep time per patient by organizing records chronologically and surfacing key details.
Mayo is also running a clinical trial testing whether AI can flag early-stage pancreatic cancer, a disease often not caught until it has spread.
“For those patients where you actually find it and identify it, it’s potentially life changing,” Dr. Callstrom told CNN.
The AI expansion isn’t free of controversy. Mayo Clinic’s former director of research operations, Traci Tamiko Eto, sued the health system on July 6, alleging retaliation after she raised privacy and oversight concerns about some of its AI systems.
“Mayo Clinic is committed to the responsible development and deployment of AI, with privacy, security, transparency and compliance embedded throughout our processes,” a spokesperson for the health system told Becker’s. “Our research and clinical innovation are conducted in accordance with applicable laws and regulations and we remain steadfast in upholding the trust patients place in us and respecting their privacy. Mayo Clinic does not comment on pending or active litigation.”
The scale of Mayo Clinic’s AI rollout signals how quickly large academic health systems are moving clinical AI from pilot programs into routine use.
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