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Overview
Digital health includes remote monitoring, decision-support software, data analytics and AI models. Intended use and risk differ substantially between products.
All technology areas
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SCIENTIFIC TECHNOLOGY LIBRARY / 05
Digital Health & Artificial Intelligence
Decision support, analytics and digital biomarkers.
Editorial review: November 202605 / 0602
Biological mechanism
Algorithms learn patterns from images, signals, records and other data. Utility depends on data quality and intended clinical context.
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Preclinical evidence
Performance in retrospective development datasets does not guarantee performance in real clinical settings.
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Human studies
Some AI-enabled devices have undergone regulatory review. Clinical validation, external testing and real-world performance should be assessed for each system.
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Limitations & safety
Bias, privacy, cybersecurity, external validation, model changes and human oversight are central considerations.
References and further reading
This page is for scientific education, not personal medical advice, an approved-treatment claim or a product recommendation. Each source must be read within its own scope.
