International Journal of Science, Engineering and TechnologyAuthors: Dr. Shivani Sharma
Abstract: Artificial Intelligence (AI) leverages advanced computer science and vast datasets to streamline problem-solving, offering transformative potential for orthopedic surgery, clinical practice, and healthcare delivery. Orthopedic surgeons increasingly use AI-driven tools to enhance service quality and outcomes. AI algorithms analyze medical images, such as X-rays, CT scans, and MRIs, to detect abnormalities and assist in diagnosing fractures, joint diseases, spinal conditions, and other musculoskeletal issues. Furthermore, AI supports personalized post-operative care by designing tailored rehabilitation programs and offering real-time feedback during recovery sessions. AI-powered wearable devices monitor movement patterns, promoting proper form and minimizing injury risks. However, accurate, diverse datasets are essential for training and validating AI systems, ensuring data privacy, quality, and interoperability. By integrating AI with intraoperative imaging, surgeons can improve implant positioning, alignment, and technique. AI-guided navigation systems enhance precision, reduce corrective procedures, and support predictive analytics, advancing personalized patient care and post-surgical management.
DOI: https://doi.org/10.5281/zenodo.16931802
