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Senators Blumenthal and Hawley probe Medicare Advantage insurers over AI denials

In a rare bipartisan move, the senators demand internal records from UnitedHealth,…

Bigger AI models don’t always win in drug metabolism prediction

The OpenADMET challenge found that smaller, specialized models matched or beat large…

AI model predicts immunotherapy response across cancer types

COMPASS, a pan-cancer foundation model, outperforms 22 methods across 16 clinical cohorts…

Singapore heart centre AI cuts cardiac damage reading to one minute

CARDIA-GM analyzes cardiac MRI scans in under 60 seconds, detecting scarred tissue…

First Canadian ALS patient receives Neuralink brain implant

Vancouver police sergeant Lee Marten can control his phone and laptop with…

AI Emerges as a Game-Changer in Humanitarian Healthcare Crisis Response

AI is being harnessed to transform humanitarian healthcare, improving disaster response, disease surveillance, mental health…

HKUST Pioneers Micro-Robotics and AI Tools to Reshape Global Healthcare

From ultra-miniature surgical robots to gamified respiratory monitors, HKUST is redefining medical technology with innovations…

High-Quality Data Is Key to Unlocking AI’s Full Potential in Clinical Trials

AI is streamlining clinical trials and cutting drug development costs, but success hinges on data…

7 Must-Attend MedTech Events in South Africa for 2025

If you’re passionate about the future of healthcare technology, South Africa is definitely a place…

NVIDIA and Foxconn Deploy Specialized AI Agent Workforces Across Taiwan Medical Centers

Foxconn's CoDoctor AI platform and Nurabot nursing robots, powered by NVIDIA, have moved from pilots…

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New MALP Prediction Method Shows Promise for Medical Data Accuracy

A new statistical method called MALP prioritizes prediction agreement over error minimization, showing improved accuracy…

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Aidoc and Nvidia Launch BRIDGE to Streamline and Scale Safe Clinical AI Adoption

The new open-source framework aims to guide healthcare leaders through the safe and standardized integration…

Healthcare’s AI Rush Risks Repeating Telemedicine’s Cybersecurity Mistakes

The rapid adoption of artificial intelligence in healthcare is echoing past missteps from the telemedicine…

Google’s TabFM Makes Accurate Predictions Without Fine-Tuning Per Dataset

Google's TabFM is a foundation model for tabular data that makes accurate predictions on entirely…

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Designing Healthcare AI for Real World Clinical Flow

A Microsoft Health AI engineer explains why the biggest barrier to clinical AI adoption is…

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AI predicts aggressive liver cancer subtype in 20 hospital study

A deep learning model predicts aggressive liver cancer from CT scans across 3,100 patients, potentially…

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