Journal

OpenEvidence and Neko Health are not competitors, but their valuations show that medical AI is splitting into distinct layers, from clinical knowledge to data-generating healthcare...

Neko Health's $700 million Series C suggests the next wave of valuable medical AI may not be chat interfaces at all, but systems that generate, own and interpret their own clinical...

On 8 July 2026, Ortivus announced a partnership integrating TORTUS's ambient AI documentation into MobiMed, the pre-hospital record platform used by over 12,000 paramedics. Why amb...

NHS England is rolling out Microsoft 365 Copilot to 505,000 staff by October 2026, after a 30,000-person trial reported an average 43 minutes of admin time saved per day. What was ...

A June 2026 Nature Medicine study found general-purpose frontier models beat OpenEvidence and UpToDate Expert AI on every evaluation. Weeks later, a preprint using 620 real OpenEvi...

DoxGPT, now Doximity Ask, is a free HIPAA-compliant AI assistant for verified US physicians, with clinical answers, drug monographs and physician-verified citations. But it is US-o...

UpToDate Expert AI adds a conversational AI layer over UpToDate's curated content, but access is mostly institutional and the recommendations are internationally authored rather th...

A wave of free, ad-free, citation-backed clinical answer tools has arrived — Heidi Evidence, OpenEvidence in the US, scribes bundling answers into the consultation. The AI 'answer ...

OpenEvidence became the US benchmark for clinical AI search, grounded in peer-reviewed literature. Tandem took the regulated-device route into in-consultation decision support. The...

Clinical AI is not one category. Accurx, Heidi, Tortus, Tandem, OpenEvidence and iatroX occupy different layers of the workflow — communication, documentation, coding, decision sup...

Trustworthy clinical AI needs more than fluent answers. It needs evidence retrieval, expert review, regulation, feedback, fail-safe behaviour, and workflow fit.

A practical checklist for clinicians using AI: source provenance, review, geography, medicines information, uncertainty, feedback, and governance.