HyperLocal Loop
Jul 16, 2026
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Mayo Clinic Tests AI

Mayo Clinic, one of the world’s most prominent hospitals, is testing how artificial intelligence (AI) can revolutionize health care. The hospital is using AI to parse medical records and identify trends in large swaths of data.

AI in Health Care

A new AI tool, called Record Time, is helping clinicians at Mayo Clinic parse through medical records faster. The tool generates relevant patient summaries, organizes documents in chronological order, and makes them easier to search. According to Dr. Alexander Ryu, an internal medicine physician at Mayo Clinic, Record Time can save him between five and 30 minutes of preparation per visit.

Mayo Clinic is partnering with firms like Microsoft and Scale AI to use its huge volume of patient records and research to develop AI tools. The hospital has around 150 AI models deployed within the hospital, according to Dr. Matthew Callstrom, a radiologist and medical director of Mayo Clinic’s generative AI program.

The use of AI in health care settings is not without controversy, raising big questions about accuracy and patient privacy. However, Mayo Clinic is committed to the responsible development and deployment of AI, with privacy, security, transparency, and compliance embedded throughout its processes.

Benefits of AI in Health Care

AI can help identify trends in large swaths of data, which can lead to more accurate diagnoses and faster treatment. Mayo Clinic is running a clinical trial to test whether AI can help identify patients at risk of or with early-stage pancreatic cancer. The hospital has also successfully used AI to analyze patients’ heart rhythms to tell whether someone could develop atrial fibrillation.

Mayo Clinic pairs tech experts with doctors or clinicians to decide which medical problems need tackling. The hospital ensures that its AI tools are accurate and trusted by both patients and doctors. AI tools go through the same process as a clinical trial, and the hospital continues to monitor how well they work.


Original reporting: KTVZ (Central Oregon) — read the source article.

OBBM Network Editorial Staff

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Editorial team behind OBBM Network — independent, hyper-local journalism syndicated through HyperLocalLoop and OBBM Network TV.

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