Related Experiment Video
Updated: Nov 18, 2025

Adapted Resistance Training Improves Strength in Eight Weeks in Individuals with Multiple Sclerosis
Published on: January 29, 2016
Editorial Commentary: Artificial Intelligence in Sports Medicine Diagnosis Needs to Improve
Abstract:
From imaging interpretation and health monitoring to drug development, the role of artificial intelligence (AI) in medicine has increased. But AI is not ready to replace humans when it comes to the diagnosis of sports medicine conditions. Rather, in highly specialized fields such as sports medicine, when it comes to interpretation of diagnostic studies such as magnetic resonance imaging scans (that are more sophisticated than simple radiographs), experts outperform AI systems at present. Key features of clinical practice, such as the physical examination, in-person consultation, and ultimately, decision making, cannot be easily replaced. As every novel "smart" tool is incorporated into our lives, we need to be ready to embrace its use, but we also ought to be critical of its implementation and seek transparency at every step of the process. We cannot afford to see AI as an antagonistic element in our practices but rather as a valuable assistant that could someday improve diagnostic accuracy.
Related Concept Videos
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Non-equilibrium in the Cell

