AI: Page 2

RöKo 2026: Nikolaou on AI policy, data gaps, and a prostate cancer paradox
By Claudia Tschabuschnig
Many open questions remain around AI in radiology. One of Europe's leading voices tries to fill some of the blank spaces.
May 26, 2026
Prof. Dr. Konstantin Nikolaou, chairman of the Department of Diagnostic and Interventional Radiology at the University of Tübingen, and chair of the ESR's AI and Digital Technologies Committee is one of the most influential voices on AI governance in European radiology.
AI model predicts 10-year breast cancer risk
By Amerigo Allegretto
A mammography-based AI model showed strong performance in predicting 10-year breast cancer risk over clinical and other AI models.
May 20, 2026
Breast Cancer3
DeepHealth secures FDA clearance, CE marking for neuro, prostate AI
By AuntMinnie.com staff writers
The company has won multiple regulatory clearances for neuro, prostate, and lumbar MRI AI.
May 20, 2026
Ai Hand
Azra AI, RevealDx announce partnership
By AuntMinnie.com staff writers
The partnership builds on Azra AI's recent acquisition of Thynk Health.
May 20, 2026
Ai Handshake
AI devices vary widely in lung cancer detection
By Will Morton
Three devices helped detect more cancerous tumors, whereas the other four devices helped detect fewer tumors.
May 19, 2026
Cropped secondary capture examples. These are illustrative and not intended to imply superiority or inferiority of any device. (A) Posteroanterior radiograph in a 46-year-old female patient. The device correctly identified a right lower lobe nodule projected below the right hemidiaphragm and hilar lymphadenopathy. (B) Posteroanterior radiograph in an 86-year-old female patient with a classic Golden S sign highly suggestive of cancer. Three devices did not identify any findings. (C) The output from one device for the same radiograph as in B. The device placed a contour around the area of abnormality but mislabeled it as segmental collapse, and there are no other elements in the output to raise suspicion of cancer. (D) Posteroanterior radiograph in a 60-year-old male patient -- a case of confirmed lung cancer that was not deemed visible in retrospect. The device identified multiple false-positive abnormalities. (E) Posteroanterior radiograph in a 77-year-old female patient with two right lower lobe nodules. The device mislabeled the abnormality as infection -- a diagnostic term that could incorrectly influence clinical management. (F) Posteroanterior radiograph in a 77-year-old female patient with a right hilar tumor. Most of the lungs have been labeled by the device, with excessive overlap of the abnormality that pragmatically represents an incorrect result. All annotations shown were produced by the devices. LL = lung lesion, LO = lung opacity, PO = pleural other, TBC = tuberculosis.
RCR appoints Raj Jena to oncology AI post
By AuntMinnieEurope.com staff writers
Jena was the U.K.'s first professor of AI in radiotherapy.
May 7, 2026
Prof. Raj Jena of the University of Cambridge.
Coreline Soft launches AI platform in Germany
By AuntMinnieEurope.com staff writers
AI platform is designed to meet the country’s national reimbursement requirements for lung cancer screening.
April 29, 2026
Lungs
AI algorithm shines in spotting early pancreatic cancer
By Kate Madden Yee
The findings could help shift diagnosis of PDA from late-stage terminal disease to early-stage treatable disease.
April 28, 2026
Pancreas New
The five-year experiment: real-world lessons from 400,000 AI-processed imaging studies
By Claudia Tschabuschnig
AI models are the easy part. Governance, integration, and real-world workflows decide what survives, according to insights from five years of implementation across 20 imaging centers.
April 28, 2026
Data from the 3R Swiss Imaging Network indicates that while 91% of radiologists use AI, successful adoption depends heavily on full workflow integration.
AI model predicts cardiovascular risk from BACs on mammograms
By Amerigo Allegretto
An AI model showed success in using age-adjusted breast arterial calcifications from mammograms to predict cardiovascular events.
April 27, 2026
Example of Percentile Nomogram With Age-Adjusted BAC Quartiles. (A) Mammogram of a 56-year-old woman. There is evident BAC (pink arrow). This was quantified as a BAC score of 30 using the cmAngio tool. (B) Nomogram indicating that a BAC score of 30 places a 56-year-old woman within the 50th to 75th percentile for her age. Images are republished under a Creative Commons license (CC BY 4.0).
"You'll never walk alone": Benoît Rizk on how to make radiology AI work
By Claudia Tschabuschnig
At 3R Swiss Imaging Network, Dr. Benoît Rizk works at the center of real-world AI in radiology. In this video interview he shares why governance and integration matter more than the models themselves, and why the profession needs to have an honest conversation about the decade ahead.
April 24, 2026
Dr. Benoît Rizk
New x-ray dataset helps clinicians develop pathology detection AI
By Kate Madden Yee
ICUs rely heavily on bedside chest x-ray to monitor patients, and the dataset could offer support for radiologic assessment.
April 23, 2026
Example radiographs with different labels for 'pulmonary congestion,' 'pleural effusion,' 'pulmonary opacities,' and 'atelectasis.'
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