Energy landscape analysis and time-series clustering for rheumatoid arthritis: KURAMA cohort study

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In the realm of AI applications in healthcare, there is a fascinating parallel with the domain of chess, shogi, and go AI, where professionals occasionally find themselves defeated by seemingly unorthodox moves beyond human comprehension. Similarly, in the context of real-world practice visualization, the recommended treatment may significantly deviate from established clinical guidelines. Our research suggests the emergence of an innovative approach to the future landscape of medical research and practice, tentatively termed “AI-based randomized controlled trials,” to systematically investigate and corroborate the efficacy of AI-suggested clinical interventions.

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