Exploring Artificial Intelligence in Orthopedics: Key Principles, Current Uses, and Future Outlook | Military Medical Research

The integration of artificial intelligence (AI) in healthcare is revolutionizing diagnostics, treatment, and surgical procedures. Research highlights AI’s potential to significantly reduce medical errors, a leading cause of mortality in the U.S. (Makary & Daniel, 2016). AI systems are enhancing predictive modeling in fields like spine surgery (Malik & Khan, 2019) and improving the accuracy of radiological readings (Gyftopoulos et al., 2019). Evaluating AI in medicine, studies have outlined its limitations and offered recommendations for better FDA approval processes (Wu et al., 2021). The current landscape also reveals promising advancements in personalized medicine and tailored treatment algorithms (Ho et al., 2020). Machine learning techniques are increasingly being employed for disease diagnosis across various specialties, including orthopedics (Hui et al., 2022) and oncology (Zhang et al., 2023). Overall, the use of AI in medicine fosters enhanced precision, efficiency, and patient outcomes, marking a pivotal shift in healthcare technology.

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