Machine Learning-Based Classification of Shoulder Implant X-Rays for Manufacturer Identification
Keywords:
Keywords: Shoulder implant classification, X-ray image analysis, Support vector machine, Random Forest classifier, Data balancing.Abstract
Recent advancements in medical imaging and machine learning have facilitated automatedclassification of orthopaedic implants, improving accuracy and efficiency. Shoulder implants are usedin orthopaedic surgeries, and their identification is crucial for revision procedures and post-operativeassessments. Studies show that over 250,000 shoulder replacements are performed annually in the U.S.,with implant misidentification contributing to 30% of revision complications.
References
AI-driven optimization in healthcare: the diagnostic process. Lyon J, Bogodistov Y, Moormann J. Eur J Manage Issues. 2021; 29:218–231
Evolving scenario of big data and artificial intelligence (AI) in drug discovery. Tripathi MK, Nath A, Singh TP, Ethayathulla AS, Kaur P. Mol Divers. 2021;25:1439–1460