Intersection of Orthopaedics and Artificial Intelligence: A Review
P Prasana, Pankaj Kumar Mandal, Digbijoy Roy, Monishankar Chakraborty, Aftab Ahmed Khan, Subhrajyoti Sarkar
- 发表年份
- 2024
- 引用次数
- 5
- 访问权限
- 开放获取
摘要
The integration of Artificial Intelligence (AI) in Orthopaedics represents a significant advancement in healthcare, offering novel approaches to diagnosis, treatment, and patient care.This review explores the multifaceted intersections between Orthopaedics and AI, highlighting its transformative potential and key challenges.Orthopaedics traditionally relies on clinical expertise, imaging modalities, and surgical interventions.However, the emergence of AI, fuelled by machine learning algorithms and big data analytics, has revolutionized the field by enabling data-driven decision-making and personalized treatment strategies.AI enhances diagnostic precision by analyzing complex imaging data and patient records, facilitating early detection and accurate prognostication of musculoskeletal conditions.Moreover, AI-driven predictive analytics assist in treatment planning and optimization, allowing orthopaedic practitioners to tailor interventions to individual patient characteristics and preferences.Despite its promise, the integration of AI in Orthopaedics presents challenges that must be addressed for responsible deployment.Issues such as data quality, interpretability of AI models, ethical considerations, and algorithmic biases require careful attention to ensure equitable and effective use of AI-driven technologies.Looking ahead, future directions in AI integration include advanced imaging techniques, personalized medicine approaches, robotics, telemedicine, and data-driven research.Interdisciplinary collaboration and ongoing education are essential for navigating the evolving landscape of AI in Orthopaedics and maximizing its potential for improving patient outcomes.In conclusion, the integration of AI in Orthopaedics offers exciting opportunities to enhance diagnostic accuracy, treatment efficacy, and patient satisfaction.By embracing AI-driven technologies and addressing associated challenges, orthopaedic practitioners can deliver personalized, evidence-based care, ushering in a new era of precision medicine and innovation in musculoskeletal healthcare.
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