AI in diabetes care is gaining popularity with potential benefits for patients and clinicians, but also challenges. Key takeaways include the need for clinician involvement in supervising AI to avoid disparities. Diabetes experts Edward C. Chao and James R. Gavin III discussed the potential of AI in diabetes care, highlighting opportunities for diagnosis prediction and streamlined administration. They also addressed challenges such as workload management and unintentional consequences. The conversation touched on the importance of human-centered design in AI research, the potential for disparities in access to AI benefits, and the need for regulatory oversight and ethical considerations. They also emphasized the importance of clinicians being prepared to leverage AI in patient management.
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AI in diabetes care poses many challenges, benefits to patients and clinicians
