Use of Artificial Intelligence in Rheumatoid Arthritis: Advancements and Novel Perspectives

Area of Science:

• Rheumatology and Artificial Intelligence

Background:

• Rheumatoid arthritis (RA) is a chronic inflammatory disease causing joint damage.
• RA management has advanced, but gaps persist in risk assessment, diagnosis, and treatment.
• Artificial intelligence (AI) presents opportunities to address these management challenges.

Purpose of the Study:

• To review the applications and limitations of AI in rheumatoid arthritis patient management.
• To discuss recent scientific evidence on AI in RA.

Main Methods:

• This narrative review analyzes current scientific literature on AI in RA.
• Focuses on machine learning and deep learning models applied to various patient data types.

Main Results:

• AI can analyze clinical, laboratory, imaging, omics, and wearable data for RA.
• Studies show potential for AI to enhance RA patient management.
• Limitations include interindividual variability, small datasets, and model bias.

Conclusions:

• AI holds promise for advancing rheumatoid arthritis care.
• Further research is needed to overcome limitations and generalize AI findings in RA.