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Read on for the foresight of the week and the full breakdown of what shaped healthcare AI 👇
Solutions and Launches
Health Bank One (US): Launched MCP services that let developers connect health AI applications to consumer-consented digital identity, verified medical records, and insurance context through OAuth-based access. [Link]
Atropos Health & Guidehouse (US): Launched a point-of-care clinical decision support solution that uses predictive models built on claims and EHR data to surface in-workflow alerts and insights for identifying underdiagnosed, undertreated, or at-risk patients. [Link]
Corti (Denmark): Launched a no-equity Startup Acceleration Program offering up to $5,000 in Symphony stack credits, plus technical and regulatory support for healthcare and life sciences startups building clinical AI. [Link]
Philips (Global): Introduced SmartIQ, a coronary imaging technology for its Azurion platform that aims to improve image quality while reducing X-ray radiation dose, including an ultra-low-dose protocol using over 50% less radiation than Philips’ lowest ClarityIQ setting. [Link]
Governance, Policy, and Ethics
Ambient AI Scribe Lawsuits (US): Reviewed emerging privacy class actions involving generative AI tools, including complaints over ambient AI use in clinical settings and the risk of wiretap, medical confidentiality, and consent-related claims. [Link]
State of Colorado (US): Gov. Jared Polis signed SB 189, revising Colorado’s AI law and adding healthcare-specific accommodations for HIPAA-covered entities and FDA-regulated medical devices. The law applies to automated decision-making technologies that materially influence consequential decisions, including healthcare. [Link]
FDA / Bayesian Health (US): Received FDA 510(k) clearance for Bayesian Health’s AI-based Targeted Real-Time Early Warning System, which monitors EHR data to flag possible sepsis up to 48 hours before clinician suspicion. [Link]
UK National Screening Committee (UK): Opened a consultation on using AI-based automated retinal image grading in the NHS diabetic eye screening programme, after new evidence found some systems matched first human graders for severe diabetic eye disease but varied by product, setting, age, and ethnicity. [Link]
UK Regulating for Growth Bill (UK): The King’s Speech outlined plans for regulatory sandboxes to support rapid but controlled testing of emerging technologies, including AI and medical innovations, while maintaining safeguards. [Link]
King’s College London (UK): Published a public perceptions study finding that 15% of the UK public have used AI chatbots for health advice instead of contacting a GP or NHS service, while 76% said AI tools used in patient care should be officially approved and regulated. [Link]
Journal of Global Health Economics and Policy (Africa): Published a political-economy analysis of AI-enabled diagnostics in Africa, warning that reliance on foreign cloud infrastructure, weak local validation, and fragmented data protection regimes could limit diagnostic sovereignty and regulatory oversight. [Link]
WHO, UNDP & Ghana Ministry of Health (Ghana): Launched a Japan-funded AI health programme to strengthen Ghana’s digital health ecosystem, including AI governance, data privacy, workforce digital literacy, and early warning systems for climate-sensitive diseases. [Link]
Women’s Health AI Consortium (Global): Willow Innovations and Ema EQ launched a new consortium to set shared benchmarks, ethical standards, and transparent evaluation methods for AI tools in women’s health. [Link]
Research and AI Advancements
MedAgentBrief / Stanford Study (US): A 10-week Stanford pilot tested a Gemini 2.5 Pro agentic workflow across 384 hospital discharges, with physicians using AI-generated summaries in 57% of cases. Clinician burnout scores improved, while safety review found omissions in 25% of summaries, inaccuracies in 20%, and hallucinations in 2%. [Link]

Figure 3. Bar Graph of Physician-Reported Safety Assessment of Unedited Artificial Intelligence Summaries
Pediatric Exanthems AI Study (Turkey): A diagnostic accuracy study compared ChatGPT, Gemini, and Copilot with 263 pediatric clinicians across 61 rash cases, finding that ChatGPT diagnosed 53 cases correctly and Gemini 50, exceeding the specialist median performance range. [Link]
Medical Student AI Literacy Study (Georgia): A performance-based rubric applied to 50 third-year medical student submissions found major gaps in AI-use documentation and verification, with 64% scoring zero for documentation and 60% scoring zero for verification. [Link]
Clinical Reasoning AI Study (Global): A Science study found that an advanced large language model outperformed physicians across structured clinical reasoning and diagnostic tasks, including emergency department cases, while researchers stressed the need for prospective real-world validation. [Link]
Partnerships & Adoption
Secai & Mila (Canada): Partnered to accelerate Secai’s Voxira platform across North America, giving the company access to Mila’s AI research network, expert community, and collaborative research initiatives. [Link]
Cantex Pharmaceuticals & Headlamp Health (US): Partnered to use Headlamp’s Lumus AI platform to analyse azeliragon data and identify MS patients most likely to respond to the oral therapy for depression and fatigue. [Link]
Hippocratic AI & Modular (US): Partnered to integrate Modular’s MAX framework into Hippocratic AI’s inference pipeline for real-time, non-diagnostic patient conversations, achieving sub-500ms mean time to first token and around 30% faster P99 end-to-end latency in evaluation. [Link]

Anthropic & Gates Foundation (Global): Announced a four-year, $200 million partnership using Claude credits, grant funding, and technical support for global health, life sciences, education, and economic mobility programs. [Link]
Bets on the Next Health System
Investments:
Forus (US): Raised more than $160 million to expand its AI platform that automates insurance authorisation, financial assistance, and pharmacy routing after a doctor prescribes treatment. [Link]
9amHealth (US): Raised $26 million in Series B funding led by Define Ventures to expand its AI-enabled virtual specialty care platform beyond cardiometabolic care into additional high-cost chronic conditions. [Link]
Optura (US): Raised a $17.5 million Series A led by Salesforce Ventures to scale its healthcare AI platform for measuring and optimizing Return on AI Investment, including use-case scoring, return simulation, and healthcare workflow AI agents. [Link]
Anomaly Insights (US): Raised an additional $17 million led by Sound Ventures, bringing total funding to $34 million, to expand its AI-powered payer intelligence platform across revenue cycle operations and managed care. [Link]
Kin Health (US): Raised $9 million in seed funding to build a patient-facing AI notetaker that records doctor visits and turns them into summaries, next steps, and questions for future appointments. [Link]
Isomorphic Labs (UK): Raised $2.1 billion in Series B funding led by Thrive Capital to scale its AI drug design engine, expand globally, and advance its drug candidate pipeline. [Link]
NIHR (UK): Awarded £5.4 million to nine research projects exploring how AI, smart-home technologies, virtual reality, and other digital tools could improve social care and support independent living. [Link]
Aumet (Saudi Arabia): Raised a $12 million Series A led by Emkan Capital to expand its AI-first procurement operating system for healthcare providers and pharmacies, supporting AI development, enterprise deployments, and regional growth. [Link]
Longitude Prize on ALS (Global): Awarded £2 million to 20 international teams using AI and the largest ALS patient dataset of its kind to identify and validate new drug targets. [Link]
M&A:
Qualtrics (US): Completed its $6.75 billion acquisition of Press Ganey Forsta, combining Qualtrics’ XM AI platform with Press Ganey Forsta’s healthcare experience data from more than 41,000 healthcare facilities. [Link]
That’s a wrap for Edition #9 of Health AI Foresight.
My goal with this newsletter is simple - to connect the present, the emerging, and the future of healthcare AI.
See you next week.
- Dr. Aboufandi
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