Abstract
Background: Hip joint osteoarthritis remains an incurable disabling health condition.
Aim: To examine what trends exist in the realm of Artificial Intelligence [AI] applications to hip osteoarthritis.
Methods: An in-depth literature review focusing on hip osteoarthritis and selected artificial intelligence association’s themes was conducted.
Results: Artificial intelligence is being widely studied and applied in the realms of hip osteoarthritis diagnoses and surgical factors and approaches, but less so in the clinical, and deterministic spheres.
Conclusion: Future expanded research efforts that integrate the features of the whole joint and person-environment factors and their association with favorable and unfavorable hip osteoarthritis outcomes are needed and are likely to prove promising and save immense human and service costs.
Keywords: Arthroplasty; Artificial Intelligence; Deep Learning, Diagnosis; Hip Osteoarthritis; Machine Learning; Outcomes; Pathology; Prevention; Surgery
Publisher
Athenaeum Scientific Publishers
Subject
Ocean Engineering,General Earth and Planetary Sciences,General Environmental Science,General Earth and Planetary Sciences,General Environmental Science,Industrial and Manufacturing Engineering,General Business, Management and Accounting,Materials Science (miscellaneous),Business and International Management,Organic Chemistry,Biochemistry,General Engineering,General Engineering