Author:
Dasegowda K. R.,Kavyasree M. Y.,Prabhavathi H.,Rambabu Majji,Vasudevan Karthick,Kareem Mohammed Abdul
Publisher
Springer Nature Singapore
Reference24 articles.
1. Hemalatha RJ, Vijaybaskar V, Thamizhvani TR (2019) Automatic localization of anatomical regions in medical ultrasound images of rheumatoid arthritis using deep learning. J Eng Med 233(6):657–667
2. Momtazmanesh S, Nowroozi A, Rezaei N (2022) Artificial intelligence in rheumatoid arthritis: current status and future perspectives: a state-of-the-art review. Rheumatol Ther [Internet] 9(5):1249–1304
3. Imtiaz M, Shah SAA, ur Rehman Z (2022) A review of arthritis diagnosis techniques in artificial intelligence era: Current trends and research challenges. Neurosci Informatics [Internet] 2(4):100079
4. Norgeot B, Glicksberg BS, Trupin L, Lituiev D, Gianfrancesco M, Oskotsky B et al (2019) Assessment of a deep learning model based on electronic health record data to forecast clinical outcomes in patients with rheumatoid arthritis. JAMA Netw Open 2(3):e190606
5. Peng J, Jury EC, Dönnes P, Ciurtin C (2021) Machine learning techniques for personalised medicine approaches in immune-mediated chronic inflammatory diseases: applications and challenges. Front Pharmacol 12(September):1–18