Tools
Tools
Cooray, Samantha, Deng, Alexander, Dong, Tim, AI Ghazal Hammouche, Salah, Quansah, Matthew, Tsigarides, Jordan 
ORCID: https://orcid.org/0000-0001-9893-8002 and Fuggle, Nicholas
(2024)
Artificial Intelligence in musculoskeletal medicine: A scoping review.
TouchImmunology, 3 (2).
Abstract
In recent years, artificial intelligence (AI) has blossomed via the booming increase in computing power, access to large data sets and the development of novel data science techniques and architectures. This has led to a great interest in the clinical deployment of AI in healthcare. In this review, we look particularly at the field of musculoskeletal medicine and have curated the latest progress in AI and machine learning in the areas of inflammatory arthritis, vasculitis and connective tissue diseases, osteoporosis, Ehlers–Danlos syndrome, osteoarthritis and musculoskeletal surgical interventions. We also highlight the challenges and pitfalls as clinical AI moves forward.
| Item Type: | Article |
|---|---|
| Additional Information: | Data availability statement: Data sharing is not applicable to this article as no datasets were generated or analysed during the writing of this article. Funding information: No funding was received in the publication of this article. |
| Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School Faculty of Medicine and Health Sciences > School of Health Sciences |
| UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Centres > Population Health |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 29 Aug 2024 14:30 |
| Last Modified: | 29 Aug 2024 14:30 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/96397 |
| DOI: |
Actions (login required)
 |
View Item |