Language models are widely capable of answering health-related questions — a topic that the media have covered extensively. These are truly remarkable advancements. However, the process of implementing them into real life rarely draws the same attention; it is accompanied by tedious paperwork and annoying safety issues.
Author: Lidziya Tarasenka
Lidziya Tarasenka
Healthcare professional with a strong background in medical journalism, media redaction, and fact-checking healthcare information. Medical advisor skilled in research, content creation, and policy analysis. Expertise in identifying systemic healthcare issues, drafting reports, and ensuring the accuracy of medical content for public and professional audiences.
A paperclip‑sized wireless sensor that tracks pressures inside the heart–lung circulation has been recommended by NICE for routine use across the NHS in England, in a move expected to shift heart‑failure management from hospital clinics to patients’ homes.
Medtronic announced on February 3, 2026, its intent to exercise its option to acquire CathWorks, an Israeli medical device company specializing in AI-driven coronary artery disease diagnostics, in a deal valued at up to $585 million plus potential undisclosed earn-out payments. The acquisition, pending U.S. Federal Trade Commission clearance, is expected to close by the end of Medtronic’s fiscal year 2026.
AI models for healthcare are proliferating, but most never leave the labs. Real-world deployment is far more complicated than any multiple-choice graduate exam – hospitals use different systems, data formats, and security protocols that resist standardization. Kaapana, an open-source platform developed at the German Cancer Research Center, addresses translation barriers by providing standardized infrastructure for medical AI research.
March is traditionally one of the busiest months for the healthtech and digital health industry. In 2026, several major international conferences will take place during…
Medical records just became the hottest commodity in Silicon Valley. In a stunning 72-hour span this January, OpenAI and Anthropic launched competing platforms that transform fragmented health data into AI-powered personal health advisors, signaling a digital colonization of America’s healthcare system. While regulators spent a decade mandating interoperability through the 21st Century Cures Act, tech giants are exploiting the resulting data floodgates, deploying sophisticated language models to ingest, analyze, and monetize patient information at unprecedented scale.
Have we traded medical privacy for the convenience of conversational health intelligence?
February 2026 is packed with healthtech conferences spanning global mega-expos, health IT executive forums, rural-care leadership, clinical trial innovation, and medical device engineering — making this list a strong starting point for planning your February 2026 conference calendar.
How do you redesign the workplace so that women can thrive through every stage of life? We talked about that with Kasia Pokrop, co-founder of 3mbrace Health and Mamamoon, and a women’s health advocate who is helping companies create healthier, more supportive environments through digital tools, expert talks, workshops, and HR training — all centered on the “three M’s”: menstruation, motherhood, and menopause.
More than 40 million people worldwide turn to ChatGPT every single day with healthcare questions, according to a report released by OpenAI today, underscoring a dramatic change in how Americans are seeking medical information in response to a healthcare system they perceive as fundamentally broken.
Personalized medicine is becoming the infrastructural element of healthcare. We discuss how AI acceleration, falling DNA sequencing costs, and government funding are driving this massive industry change.