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Evaluating reasoning-tuned large language models for clinical decision-making in spine surgery.
PURPOSE Most clinical evaluations of large language models assess factual recall rather than the multi-step reasoning behind operative plans. Reasoning-tuned models, post-trained to generate explicit intermediate reasoning before answering, may better approximate surgical decision-making. We compared two such models fr...
Frailty and Surgical Invasiveness Are Independently Associated with Complications in Pediatric Spinal Deformity Surgery.
Both frailty and surgical invasiveness were independently associated with increased perioperative risk in pediatric spinal fusion and incorporating both patient vulnerability and anticipated operative magnitude into preoperative assessment may support more individualized counseling, shared decision-making, and perioper...