Every story in this issue with a short summary, so you can decide what to read before leaving the site. Summaries are written by AI (Claude) only from each publisher's own description and checked by Jev for anything not in that description. They are not full translations. Follow "Read the original" for the full story.
An AI system that simulates a panel of physicians reached the correct diagnosis in about 80% of test cases, compared with 36% to 47% for generalist physicians. Researchers caution that the results come from a controlled, text-only benchmark rather than real-world practice.
Read the original →The future of AI in radiology lies in its potential capability to forge connections and enhance efficiencies for enterprise-wide workflows.
Read the original →KT is partnering with three tertiary hospitals: Yonsei University Health System, Asan Medical Center, and Seoul National University Hospital.
Read the original →The agreement was signed at the Abu Dhabi Future Health Summit 2026.
Read the original →Healthcare Triangle, Inc. (Nasdaq: HCTI) announced that its wholly owned, AI-led subsidiary, Purpose Health, Inc., has signed a series of multi-year agreements. These include a multi-year Master Services Agreement with a university health system for EHR optimization and healthcare cybersecurity. Purpose Health also signed a multi-year agreement to provide IT services supporting the Global Capability Center of a healthcare business unit.
Read the original →The Global Digital Health Summit is scheduled for 20-21 November 2026 in New Delhi and will highlight the role of artificial intelligence in healthcare. A key feature, The CORTEX Test, will evaluate decision-making from AI, doctors, and collaborative methods.
Read the original →A new artificial intelligence-powered technology is helping doctors in Batavia, N.Y., detect potential heart blockages. It could reduce the need for invasive testing and length of stay.
Read the original →Innogrid is developing technology to bring together, in a single system, the clinical software and computing infrastructure for mobile hospitals. These hospitals are deployed at disaster sites and in medically underserved areas.
Read the original →Dr Raminderpal Singh speaks to Dr Srijit Seal about how AI agents are changing computational drug discovery and the impact on scientists.
Read the original →Neela Biotech, a Cambridge-based biotech startup turning waste into sustainable aviation fuel (SAF), announced on Oct. 8 that it has raised £2.1 million in pre-seed funding.
Read the original →Without a clear framework for complex and developing labels and context, project progress can be held back. Drug discovery projects overseen by pharmaceutical and scientific research organisations remain susceptible to data fragmentation. Ontology frameworks and semantic technologies are paving the way for interoperability while helping to boost accuracy and precision.
Read the original →Rita King, CEO of MethodSense, discusses the integration of AI in medical devices and key developments for pharmacists as the technology evolves.
Read the original →RIVANNA, a developer of AI-enabled clinical decision-support solutions, announced that the U.S. Food and Drug Administration (FDA) has granted 510(k) clearance for BoneEnhance.
Read the original →The Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard Law School announced its 2027 Annual Conference, Generative AI in Healthcare: Law and Regulation. The announcement describes generative AI as artificial intelligence designed to produce output, such as text or images, that normally require human intelligence.
Read the original →Radiology professor Akshay Chaudhari said the demand for healthcare exceeds physician capacity.
Read the original →Researchers analyzed nearly 150,000 Reddit posts and found unexpected symptom reports that users linked to unapproved versions of retatrutide, including increased appetite, sleep disturbances and elevated heart rates. The findings differ from clinical trial results. They highlight how AI could help identify potential drug safety signals that warrant further investigation.
Read the original →Microsoft’s new AI diagnostic system beat generalist doctors on hard cases, according to a study in Science. Most of the improvement appears to come from the underlying AI models rather than from Microsoft’s system itself.
Read the original →Patients are receptive to AI-drafted patient portal messages. They prefer their healthcare provider to be involved in messages about their clinical needs and symptoms.
Read the original →Team Mirai leader Takahiro Anno warned that countermeasures against AI-enabled cyberattacks should be taken as soon as possible.
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