Evaluating commercial multimodal AI for diabetic eye screening and implications for an alternative regulatory pathway.
PMID: 41398461 ·
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Resumo
Autonomous AI for diabetic eye examination is among the most validated and trusted medical AI systems, supported by extensive real-world evidence demonstrating safety, efficacy, improved outcomes, increased productivity, and cost savings. Yet its adoption remains limited. In contrast, commercially available off-the-shelf generative AI models (OTSAIs) are being rapidly tested in medical settings despite a lack of such real-world validation. These models have shown strong performance on medical re
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