Key takeaways:

Large language models may be able to identify patients at high risk for complications prior to surgery.

Age discrepancy with AI may predict hospital length of stay and survival.

CLEVELAND — Implementation of AI may allow for better personalization of care, identification of surgical risks and delivery of safe surgery, according to a presenter at Cleveland Clinic’s A.I. Summit for Healthcare Professionals .

“We are at an exciting and critical junction where we need to know about [AI in medicine] and be active in the decisions,” Christopher Weight, MD , , MS, professor and director of urologic oncology and vice chair of the department of urology – research at Cleveland Clinic Lerner College of Medicine at Case Western, said in his presentation.

Implementation of A

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