AI applications in orthopedics

In July 2026 a retrospective cohort study of pediatric knee surgery showed that diagnostic arthroscopy uncovered intra‑articular pathology in 43% of cases and altered management in about one‑tenth of patients. The same report included a systematic review of machine‑learning models predicting proximal junctional pathology after adult spinal deformity surgery, finding moderate discrimination (pooled AUC 0.67) and highlighting the need for further validation before clinical use.

By early August 2026, research from the University of Utah Health demonstrated how AI can accelerate drug discovery for osteoarthritis. Using AI‑predicted protein structures, investigators narrowed half a million compounds to six candidates and identified one (M04) that reduced inflammatory gene expression and protected cartilage cells in vitro. Alongside this, a rheumatology expert provided practical guidance on osteoarthritis management, emphasizing genetics, lifestyle exercise, and timely medical care.

Together, the snapshots illustrate a broadening of AI’s role in orthopedics—from improving intra‑operative decision‑making and risk stratification to expediting therapeutic development and informing patient‑centered care.