An HSS study presented at The American Association of Hip and Knee Surgeons Annual Meeting showed use of a custom-tailored AI platform may be a feasible option to address preoperative patient questions for total joint arthroplasty.

“As we move into this age of AI, it is becoming more and more robust. We’re trying to make sure we eliminate as much hallucination or misinformation by teaching models what needs to be known correctly,” Karlos E. Zepeda, DO, MS, clinical research fellow at HSS. “Because it’s self-learning, as long as you have some human oversight with this, I think we will do well. This helps and serves a need within the health care system to ensure that patients are getting the right information at the right time and, ultimately, leading to better outcomes for their health.”

Dr. Zepeda, Eytan M. Debbi, MD, PhD, and HSS colleagues created and validated a custom-tailored AI platform to address preoperative questions from 32 patients scheduled to undergo TJA (knee = 16, hip = 16) based on information preapproved by four arthroplasty surgeons. Primary outcomes included patients’ satisfaction and perceived effectiveness of the custom-tailored AI platform, with satisfaction and perceived effectiveness of the custom-tailored AI platform in the postoperative phase serving as secondary outcomes.

Read the full article at healio.com.