Understanding Artificial Intelligence and Predictive Analytics: A Clinically Focused Review of Machine Learning...

Area of Science:

• Orthopaedic surgery
• Medical artificial intelligence
• Machine learning applications

Background:

• Machine learning (ML) and artificial intelligence (AI) have rapidly advanced.
• These technologies are increasingly integrated into orthopaedic research and practice.

Purpose of the Study:

• To highlight the growing importance of ML in orthopaedics.
• To emphasize the need for orthopaedic providers to understand ML terminology and techniques.

Main Methods:

• Review of current ML applications in orthopaedics.
• Discussion of the foundational concepts of ML algorithms.

Main Results:

• ML algorithms demonstrate potential for enhanced diagnostic accuracy.
• ML can decrease patient assessment time and improve triage capabilities.
• Physicians require foundational ML knowledge to interpret and utilize these advancements.

Conclusions:

• Familiarity with ML is crucial for modern orthopaedic practice.
• Understanding ML empowers physicians to critically evaluate and apply new AI-driven tools.
• Proactive education in ML will enhance patient outcomes and practice efficiency.