AI Impact on Healthcare
How AI transforms diagnostics, drug discovery, mental health at scale, and healthcare delivery across 3 time horizons.
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**Healthcare & Wellbeing: Short-term (2026--2028)
**Current State
AI in healthcare has crossed the threshold from experimental curiosity to clinical reality. By early 2026, the U.S. Food and Drug Administration has authorized over 1,000 AI- and machine learning-enabled medical devices, with the pace of approvals accelerating each year --- more than 200 new clearances in 2025 alone. The vast majority target radiology and cardiology, but authorizations are expanding into pathology, ophthalmology, gastroenterology, and dermatology at a rapid clip.
Diagnostics and imaging represent the most mature application domain. AI systems for mammography screening, such as those developed by Lunit, Vara, and iCAD, are deployed across screening programs in Europe and increasingly in the United States. A landmark 2023 study published in The Lancet Oncology demonstrated that AI-supported mammography screening detected cancer at rates comparable to double-reading by two radiologists, while hal
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