Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Early stage detection of osteoarthritis of the joints (hip and knee) using machine learning Subject The topic of the resource Data-driven approach; Early OA detection; Ethical considerations; Machine learning (ML); Traditional diagnosis limitations Description An account of the resource This study explores the developing relationship between health care and technology, with a special emphasis on the use of machine learning (ML) algorithms to detect early stage osteoarthritis (OA) in the hip and knee joints. OA, a substantial worldwide health problem, requires improved diagnosis techniques. In this analysis, we illuminate the limitations of traditional methods, emphasizing the inherent subjectivity of clinical assessments and the delay in detection using routine imaging techniques. The research investigates the potential of ML to bring about significant changes. It focuses on combining various algorithms with extensive datasets and highlights the need to select relevant features and prepare the data to improve the accuracy of the models. The use of ML is closely connected to ethical issues, which include the protection of data privacy and the capacity to comprehend the models used. To bridge the gap between theory and practice, the chapter presents concrete examples of ML's practical use in detecting OA, opening possibilities for customized therapy and enhanced patient results. The chapter also highlights potential areas for future study, emphasizing the urgent requirement for additional progress in ML-based early detection techniques to alleviate the worldwide impact of OA. 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Creator An entity primarily responsible for making the resource Hemanth K.S.; Tigulla D.; Lakshmi V.; Buhari S. Source A related resource from which the described resource is derived Diagnosing Musculoskeletal Conditions using Artifical Intelligence and Machine Learning to Aid Interpretation of Clinical Imaging, pp. 39-64. Publisher An entity responsible for making the resource available Elsevier Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/B978-0-443-32892-3.00003-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-443-32892-3.00003-8</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213517235&amp;doi=10.1016%2FB978-0-443-32892-3.00003-8&amp;partnerID=40&amp;md5=5feb555353195ee4f5dc8fa3c5c58d00" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213517235&amp;doi=10.1016%2fB978-0-443-32892-3.00003-8&amp;partnerID=40&amp;md5=5feb555353195ee4f5dc8fa3c5c58d00</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-044332892-3; 978-044332893-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Hemanth K.S., Department of Computer Science, Christ University, Karnataka, Bangalore, India; Tigulla D., REVA University, School of Computer Science and Applications, Karnataka, Bengaluru, India; Lakshmi V., REVA University, School of Computer Science and Applications, Karnataka, Bengaluru, India; Buhari S., Universiti Teknologi Brunei, School of Business, Bandar Seri Begawan, Brunei Darussalam