AI is reshaping patient care by enhancing diagnosis, adherence, disease progression monitoring, and adverse event management. This paper emphasizes the role of patient organizations in accelerating adoption by providing funding, facilitating data access, supporting clinician education, and guiding implementation. For example, JDRF and IQVIA developed an AI model to reduce misdiagnosis of adult-onset Type 1 diabetes, uncovering a 10% misclassification rate and prompting validation studies across health systems. Patient organizations’ advocacy, credibility, and networks make them vital enablers of AI-driven innovation, bridging gaps between technology, clinicians, and patients.

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