Year: 2023
Type: article
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
Author: Ray Marks
Institution: Columbia University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4384376975