Status, challenges, and prospects of artificial intelligence application in gout diagnosis and treatment, drug research and development, and disease monitoring.

Gout is a chronic inflammatory disease caused by the deposition of monosodium urate crystals. Its global prevalence is rising, with an observable trend toward an earlier age at onset. Clinical management faces several persistent challenges, including delayed diagnosis, inaccurate disease assessment, a lack of individualized treatment strategies, challenges in long-term follow-up, and suboptimal patient adherence. In recent years, artificial intelligence (AI) has demonstrated significant potential across the gout care continuum. Leveraging its robust capabilities in data processing, pattern recognition, and predictive analytics, AI offers novel approaches to address these clinical challenges. This review systematically collates published investigations concerning AI in the diagnosis and clinical management of gout, delineates the current developmental stage of relevant work, and outlines viable directions for subsequent research in this domain.