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.
A systematic review of 11 studies finds that deep learning models using ultrasound show moderate sensitivity and high specificity for predicting axillary lymph node metastasis in breast cancer.
Read the original →Oncology nurses play a key role guiding patients about AI breast cancer risk assessment tools, dynamic re-testing, and individualized screening plans.
Read the original →Posters in an artificial intelligence and digital care session at Kidney Week 2026 spanned CKD risk prediction and LLM-drafted prior authorization letters.
Read the original →Zoom has introduced enhanced Zoom Clinical Notes, an AI-powered documentation solution that supports in-person, video, and telephone consultations. The tool integrates with Zoom's communications platforms and offers APIs for healthcare developers.
Read the original →The "Healthcare Data Center Market - Growth, Share, Opportunities & Competitive Analysis, 2026-2035" report has been added to the DC Market Insights offering.
Read the original →The article compares 10 healthcare AI development companies for enterprises, covering AI expertise, compliance capabilities and healthcare innovation. It says hospitals rely on algorithms for bedside care and insurance firms automate claim reviews.
Read the original →The global smart home healthcare market is expected to grow at an annual rate of more than 23% over the next 10 years. Growing preference for services is fueled by convenience, the ability to lower hospital costs and advances in telemedicine.
Read the original →Bristol Myers Squibb (NYSE:BMY) has entered multi-year AI drug development partnerships with Pathos AI and Tempus AI. The agreement gives Bristol Myers Squibb exclusive access to Pathos AI.
Read the original →A repeated Japanese survey of physicians and the public found that intention to use relatively autonomous medical AI did not change significantly between 2018 and 2025. This was despite rising self-rated
Read the original →The roundup says the biggest European HealthTech stories were a surgical-robotics deal, a regulatory-infrastructure raise and a Nordic consolidation move. On health AI, governance and public infrastructure dominated, and the private-market stories were mostly about regulatory plumbing rather than new models. On the device side, it names a UK regulatory decision that landed on Wednesday as the standout.
Read the original →AI helps detect hard-to-diagnose lesions and supports diagnosis and drug development. If doctors rely too heavily on the technology, errors in algorithms could lead to dangerous situations.
Read the original →In this fifth installment, the author describes crossing over three times, from embedded systems to image AI and then to medical AI. The article covers how Kaggle supported them at each stage.
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