GPT-5.2, Gemini 3.1 Pro and Claude Opus 4.6 outperformed dedicated clinical AI systems in head-to-head testing across 1,100 medical questions.
In a rare bipartisan move, the senators demand internal records from UnitedHealth,…
The OpenADMET challenge found that smaller, specialized models matched or beat large…
COMPASS, a pan-cancer foundation model, outperforms 22 methods across 16 clinical cohorts…
CARDIA-GM analyzes cardiac MRI scans in under 60 seconds, detecting scarred tissue…
Vancouver police sergeant Lee Marten can control his phone and laptop with…
The frontier reasoning model is designed to accelerate drug discovery and biological research across chemistry, protein engineering, and genomics.
Regard CMO Dr. David Kirk warns that AI's polished, authoritative-sounding responses can…
Mayo Clinic Platform president Dr. John Halamka describes an executive-led oversight process…
Stanford Medicine's weeklong Health AI event across eight symposia explored how AI is empowering patients, reshaping medical education, accelerating cancer…
AI is being harnessed to transform humanitarian healthcare, improving disaster response, disease surveillance, mental health…
From ultra-miniature surgical robots to gamified respiratory monitors, HKUST is redefining medical technology with innovations…
AI is streamlining clinical trials and cutting drug development costs, but success hinges on data…
If you’re passionate about the future of healthcare technology, South Africa is definitely a place…
Foxconn's CoDoctor AI platform and Nurabot nursing robots, powered by NVIDIA, have moved from pilots…
A new statistical method called MALP prioritizes prediction agreement over error minimization, showing improved accuracy…
The new open-source framework aims to guide healthcare leaders through the safe and standardized integration…
The rapid adoption of artificial intelligence in healthcare is echoing past missteps from the telemedicine…
Google's TabFM is a foundation model for tabular data that makes accurate predictions on entirely…
A Microsoft Health AI engineer explains why the biggest barrier to clinical AI adoption is…
A deep learning model predicts aggressive liver cancer from CT scans across 3,100 patients, potentially…