AI supports medical device development, regulatory strategy, and post-market surveillance, from AI-enabled surgical robots to smart diagnostics and Software as a Medical Device (SaMD).
AI use in Medical Device & MedTech is represented by 1 published case-study records and 0 linked vendors in this directory. 1 records retain cited source URLs. These records summarize how organizations in medicine apply AI in this segment; outcomes are attributed to each record's source when available rather than independently verified.
Limitation: Missing linked evidence is unknown and does not prove absence of capability.
AI now touches every stage of the medical device product lifecycle: design and development, regulatory submission, manufacturing quality, clinical deployment, and post-market surveillance. The FDA has cleared over 1,000 AI/ML-enabled medical devices as of 2025, establishing a mature regulatory pathway that encourages innovation while maintaining safety standards. This regulatory clarity, combined with advances in edge computing and sensor technology, has made AI-enabled devices the fastest-growing segment in MedTech.
In surgical guidance, Proprio's FDA-cleared platform provides real-time 3D visualization and AI-guided navigation during spinal and other complex surgeries, deployed at Duke and the University of Washington. Philips' DeviceGuide received FDA clearance for AI-assisted heart valve repair guidance. Medtronic integrates AI across its surgical robotics portfolio, while Intuitive Surgical's da Vinci systems increasingly incorporate AI for tremor filtering, tissue identification, and surgical planning. These devices combine real-time sensor data, computer vision, and pre-operative imaging to give surgeons enhanced situational awareness during procedures.
On the diagnostic device side, AI combined with point-of-care testing adds new clinical capabilities. Athelas offers AI-powered diagnostics at the point of care with FDA clearance. Prenosis developed a novel AI-enabled sepsis diagnostic that combines routine lab values into a predictive score, using a first-of-its-kind FDA regulatory pathway. Diabeloop transformed from a Software in a Medical Device (SiMD) to a standalone Software as a Medical Device (SaMD) for AI-powered diabetes management. The MDIC (Medical Device Innovation Consortium) published case studies including Medtronic's AI-powered complaint handling automation. For device manufacturers, AI also improves quality management systems, automates adverse event reporting, and accelerates the 510(k) and De Novo submission process through intelligent document preparation and predicate device analysis.
The FDA has established clear pathways for AI/ML-enabled devices: 510(k) clearance (most common, requires substantial equivalence to a predicate), De Novo classification (for novel AI devices without a predicate, like Prenosis's sepsis diagnostic), and PMA approval (for highest-risk devices). The FDA's 2021 AI/ML Action Plan introduced a framework for 'predetermined change control plans' that allow manufacturers to update AI algorithms post-clearance without new submissions. The framework recognizes that AI models improve over time. Over 1,000 AI/ML devices have been cleared, with radiology, cardiology, and pathology as the leading categories.
Medtronic
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