Artificial intelligence technologies have significant potential to advance the diagnosis and treatment of axSpA, providing more accurate, efficient and personalized healthcare solutions. However, their integration into clinical practice requires rigorous validation, ethical and legal considerations, and comprehensive training for healthcare professionals. Future advances in artificial intelligence could complement clinical expertise and improve patient care through improved diagnostic accuracy and tailored therapeutic strategies, but the challenge remains to ensure that these technologies are validated in prospective multicentre trials and ethically integrated into patient care.
Keyphrases
- artificial intelligence
- machine learning
- big data
- healthcare
- deep learning
- clinical practice
- clinical trial
- ankylosing spondylitis
- study protocol
- disease activity
- randomized controlled trial
- current status
- cross sectional
- smoking cessation
- decision making
- systemic lupus erythematosus
- virtual reality
- human health
- climate change
- health information