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A wall of 1,357 medical-device approval tiles narrows to three illuminated patient-outcome records beside an empty hospital evidence chart.
Social good & healthUnited States · Global implications+3 clusters01

Only three of 1,357 FDA-authorized AI medical devices were evaluated on patient outcomes

A PLOS Digital Health evidence census linked the FDA's 1,357 authorized AI and machine-learning medical devices through December 5, 2025 to prospective trials and publications. Thirty-four devices were linked to registered prospective trials, 12 had posted results, 12 had peer-reviewed publications, and only three evaluated patient-centered outcomes such as mortality, morbidity, or readmission. The review does not show that the remaining devices are ineffective; it shows that authorization and benchmark performance rarely answer the outcome question patients care about most. With 78 percent of the devices concentrated in radiology and vulnerable populations often excluded from studies, the validation gap can travel through hospitals and across countries long before durable benefit or equitable performance is known.

5 min
A federal AI and supercomputing hub connecting health data, drug discovery, infrastructure materials, and scientific research.
Social good & healthUnited States+3 clusters02

A $5 billion federal push links AI to health, infrastructure and science

The U.S. government has committed more than $5 billion to expand the Genesis Mission, a multi-agency effort that combines federal datasets, Department of Energy supercomputers, research facilities, and AI tools. More than 15 agencies and 278 selected projects will target problems including chronic disease, pediatric cancer, drug discovery, resilient building materials, transportation maintenance, energy, manufacturing, agriculture, and national security.

3 min
A wearable bioelectronic patch linking biosensing, an AI decision node, human oversight, and controlled therapy in a closed loop.
Social good & healthGlobal+2 clusters03

Gao et al., “AI-powered closed-loop wearable bioelectronics for personalized and autonomous healthcare”

A Nature Sensors review argues that AI-powered closed-loop wearables could move healthcare devices beyond passive data collection by connecting continuous biosensing directly to AI-guided decisions and therapeutic intervention. The authors emphasize that clinical value depends on the coordinated system—sensing, control, treatment, and human oversight—not any component alone. Long-term interface stability, robust control, transparent safety mechanisms, and evidence of patient benefit remain prerequisites for scalable use.

3 min
Cognition & learningGlobal+2 clusters04

Souei et al., “Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment”

Researchers reviewed 239 peer-reviewed studies on AI-supported deep-brain stimulation and found a pronounced gap between reported algorithmic performance and clinical readiness. External validation remained rare, evaluations were predominantly retrospective and single-centre, and more than one-quarter of studies used small, high-dimensional datasets with elevated overfitting risk; most systems therefore remained at early-to-intermediate technology-readiness levels.

2 min