AM-IA brings together news, research papers and applications relating to artificial intelligence published around the world into a single feed — and makes them available in your European language at the click of a button.
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Out of 31,301 women, a prospective Spanish trial shows a 63.6% reduction in reading load and more cancers detected, at the cost of an increased recall rate.
James Deardorff of UCSF cautions that the statistical performance of a prognostic model says nothing about what is done with it at the bedside of an elderly patient.
Ottawa is earmarking $200 million for health in its national "AI for All" strategy. It remains to be seen what the scientific evidence really supports, and at what cost.
In the phase III MARIPOSA trial, Altis Labs' IPRO tool detected a benefit from the sixteenth week that conventional imaging criteria had not seen come.
Four U.S. elected officials, two Democrats and two Republicans, demand that a health care professional sign any medical decision and that the use of AI be disclosed to patients.
With a petition to exempt four categories of image detection and sorting aids from 510(k), the Agency responded that there was no guarantee that a human reader would detect a discrepancy before it produced a diagnostic error.
The Danish laboratory will test Anthropic's scientific platform on a selection of R&D workflows, without the amount of the agreement being made public.
The Public Data for Health program will fund universities and associations to build, preserve and open scientific corpus, from molecules to epidemiology.
Bill Gates warns that artificial intelligence risks widening the gaps between rich and poor countries, and announces a two-year package divided between health, education and agriculture.
The June 2026 FDA inventory lists 1,524 authorized AI algorithms, including 1,163 in radiology. The governance committees that sort by specialty are missing out on a large part of the offer.
A Yale study published in Nature Communications shows that fine tuning language models on real files increases their clinical performance but also their tendency to return sensitive information.
A team from the University of Pennsylvania had five years of public discussions analyzed by language models and drew signals on menstrual disorders and thermoregulation.
The European I3LUNG project brought together 2,396 patients with metastatic non-small cell lung cancer to train models combining imaging, pathology and genomics.
A Google study shows that European data transfer helps small Japanese cohorts, but can become unfavorable as they grow.
Google is introducing a search model for continuous glucose sensors, designed to learn with little annotated clinical data.
The portable device developed by MIT Lincoln Laboratory and Massachusetts General Hospital combines ultrasound and AI to assist with procedures outside hospital settings.
The Class II classification, which came into force on September 11, codifies the special controls resulting from the De Novo application filed by Viz.ai for its Viz HCM module at 21 CFR 870.2380.
ADVOCATE aims for continuous support systems, evaluated with the FDA and an independent body.
Trained on 313,531 examinations of 161,165 women, the NYU-DRP model correctly classifies women at risk in 72% of cases, compared to 56% for the reference clinical tool.
Researchers at the Sylvester Comprehensive Cancer Center sorted out predicted structures rather than genetic sequences, and uncovered a protein that was invisible to conventional methods.