Emerging studies leverage AI to enhance medical diagnostics and predictive modeling. One demonstrates that deep learning models incorporating knee alignment significantly improve predictions of ground reaction forces during walking, advancing biomechanics analytics. Separately, natural language processing applied to digital phenotyping reveals novel biomarkers for Parkinson’s disease, analyzing linguistic patterns for early symptom detection. These AI-driven tools offer potential for personalized clinical assessments and improved management of neurological and musculoskeletal conditions.