Advancing Radiology with Continuous, Ambient, Low-Friction AI Technology
CALM AI aims to enhance radiological workflows by integrating seamlessly into existing systems. It is intended to reduce cognitive burden for radiologists.
Read the original →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.

CALM AI aims to enhance radiological workflows by integrating seamlessly into existing systems. It is intended to reduce cognitive burden for radiologists.
Read the original →The Evident Vascular Guidance System and Evident peripheral imaging catheters reportedly offer enhanced image clarity and workflow efficiencies for intravascular ultrasound.
Read the original →A single attention-gated multi-task network achieved classification and segmentation accuracy comparable to separate dedicated models on breast ultrasound images. It also reduced the parameter count by 46.
Read the original →A Medicine Plus review examines artificial intelligence and radiomics across osteosarcoma imaging, from diagnostic support and tumor segmentation to treatment response and risk assessment. It highlights the need for disease-specific evidence, external validation, and clinically meaningful evaluation before routine use.
Read the original →More than 115 Illinois hospitals and health systems took part in a statewide emergency preparedness exercise on Wednesday, Nov. 4.
Read the original →A guest article by Paige Schwein, Vice President, Technology Services at Healthrise, argues that most people associate AI in healthcare with surgical robots or scan-reading algorithms. The author draws on more than a decade in revenue cycle operations to describe a quieter change underway.
Read the original →A new 2027 outlook finds payer leaders reassessing outsourcing, offshoring, nearshoring and insourcing. Automation, interoperability mandates and rising administrative expense are redefining the economics of managed care.
Read the original →Robots moved logistics boxes along conveyor belts, while artificial intelligence monitored hospital wards. Visitors were offered a glimpse of the future at the event.
Read the original →The UK Government has backed British startup Potential Sciences in an eight-figure funding round. The funding supports its efforts to use AI to transform chemistry.
Read the original →Pauric Bannigan, Co-founder and CSO of Intrepid Labs, discusses the biggest challenges with AI and machine learning in pharma. He says the central issue is securing high-quality data so that machines can make the highest-quality decisions.
Read the original →The article says investors should consider buying resurgent healthcare and biotech stocks amid the AI selloff. It looks at why it might be time to buy biopharmaceutical stock Argenx (ARGX).
Read the original →The midterms highlighted negative sentiment around AI across the U.S. The article asks how those attitudes will affect legislation on AI use in health care.
Read the original →PulseAI, a medical technology company developing artificial intelligence for cardiac diagnostics, announced U.S. Food and Drug Administration 510(k) clearance of its AI-powered arrhythmia analysis model for wearables.
Read the original →A panel says lawmakers face a learning curve on AI in healthcare. The panelists called for safety standards as AI is used more broadly in care delivery.
Read the original →McGill University Prof. Guillaume Fontaine said AI tools have the potential to further equitability in healthcare. At a Tuesday event hosted by the Northwestern Network for Collaborative Intelligence, he argued that the benefit depends on deliberate integration into daily clinical work.
Read the original →A study found that subtly steering one AI model changed its depression advice toward self-care and away from medication. The study highlights risks for people seeking health guidance from chatbots.
Read the original →Igaku-Shoin, NTT and NTT Docomo Business will begin a joint trial with Ubie from November. The trial uses a medical AI information platform co-developed by the three companies and Ubie's generative AI service for medical institutions. It will be carried out at NTT East Kanto Hospital.
Read the original →Mecara, a Tokyo-based medical device and healthcare company, will set up a production site in Okuma town to mass-produce AI medical devices. The company's products include an electronic pupillometer and its own AI.
Read the original →In Vietnam, key Party and State policies, notably Politburo Resolutions 57-NQ/TW and 72-NQ/TW, position digital transformation and high technology as important means of improving the quality of healthcare for citizens.
Read the original →Doctornet Inc. announced a sales partnership with Coreline Soft Co., Ltd. for the chest CT image analysis AI engine Coreline A-VIEW CAC. The partnership covers sales in Japan.
Read the original →