Development and Validation of an AI-Based Predictive Model for Osteoporosis Risks in Women Using Clinical and Lifestyle Data: A Tool to Guide Preventive Physical Therapy.

This study aims to develop an artificial intelligence-based predictive model to assess the risk of osteoporosis in women using easily obtainable clinical data. The model relies on simple health information such as age, weight, height, family history, and physical activity levels, enabling early risk prediction and timely preventive interventions. This approach supports primary prevention, enhances planning for physical therapy, and reduces complications associated with osteoporosis, while being easily implementable in routine clinical practice.