An AI digital twin could change how people understand their metabolism by using personal health data to predict how their bodies respond to different foods, activities and daily habits. Rather than offering generic dietary recommendations, an AI digital twin attempts to build a personalised picture of an individual’s physiology and update its predictions as new […]
NVIDIA has profiled four Inception startups using AI across the breast cancer pathway: iSono Health’s wearable 3D ultrasound, Whiterabbit.ai’s density and risk tools, Ataraxis AI’s treatment predictions and SimBioSys’s 3D surgical models. We set out the care gaps with the latest figures, what each company does, what the MASAI and PRAIM trials show and what it means for the NHS.
On 26 September 2026 TechCrunch reported that insurers claim AI is already increasing healthcare costs, after the Blue Cross Blue Shield Association linked $942 million in extra hospital spending to AI coding tools. This article lines up every insurer-side source, from PwC’s survey of 27 health plans to the Peterson Health Technology Institute and CMS Administrator Dr Mehmet Oz, then weighs them against the hospital rebuttal, insurers’ own AI and coding record, the real scale of the effect and the fixes on the table.
On 24 September 2026 the Blue Cross Blue Shield Association published a white paper estimating that hospitals coding inpatient stays as more complex added about $942 million to Blue plans’ costs over two years, with about $653 million from secondary diagnoses it links to AI coding tools. This article explains the DRG bump codes behind the estimate, the bowel surgery and anemia evidence, why some headlines say $2.3 billion, the American Hospital Association’s rebuttal and who ultimately pays.
Physician AI use went from 38% to 81% in three years, and 88% of the same doctors now report concern about losing clinical skill. This piece separates the benchmark results from the clinical ones: why Microsoft’s 85.5% versus 20% comparison barred its physicians from colleagues and textbooks, what the Lancet colonoscopy deskilling study actually found, how much time ambient scribes really save, what UK regulators decided about AI scribes in July 2026, and which parts of clinical work no deployed system touches.
New framework improves clinical reasoning and decision making in AI systems, introducing a significant advancement in the development of medical artificial intelligence. Traditional healthcare AI tools have often excelled at narrow tasks such as image classification, pattern recognition, or data retrieval, but they have struggled with the deeper reasoning processes that clinicians use when evaluating […]
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