Imaging Informatics

One tool, many rulebooks: How the world is and isn't regulating medical AI
By Claudia Tschabuschnig
AI is reshaping radiology faster than regulators can keep up. From Brussels to Dubai to Seoul, most are still writing their own rules.
June 12, 2026
Hospitals across Europe, here in Katowice, Poland, are deploying AI tools in clinical workflows, but the regulatory infrastructure to oversee them is still catching up.
The great AI debate: Expensive failure or vital prerequisite?
By Philip Ward
The spotlight fell brightly on AI at Tuesday's plenary session at the U.K. Imaging and Oncology Congress. The global expert panel scrutinized the current status of AI and the challenges ahead.
June 10, 2026
Think more deeply about the structural, procedural, or operational bottlenecks stacking on top of one another, Dr. Rizwan Malik told UKIO delegates.
AI gives a boost to cardiac MRI risk prediction
By Kate Madden Yee
Accurate risk prediction for coronary heart disease helps clinicians guide patient therapy and follow-up.
June 10, 2026
C-index for Cox regression and random survival forests models using two feature sets. Adding historical registry data decreases the C-index for Cox regression but increased it for the random survival forests model, consistent with the non-linear structure in the registry data.
KA Imaging awarded $150K to develop AI triage tool
By AuntMinnie.com staff writers
The tool would flag suspected findings, including pulmonary nodules, consolidation, pleural fluid, and pneumothorax.
June 9, 2026
Lung Tumors
AI may provide early breast cancer alerts from mammograms
By Amerigo Allegretto
Commercial AI systems could provide early alerts for breast cancer by picking out early signs of the disease on mammograms.
June 9, 2026
Screening mammograms and AI score changes are depicted over time in two individuals with screen-detected cancer. Full-field digital mammograms show craniocaudal (top) and mediolateral (bottom) views of the left and right breast. The description below each mammogram indicates whether AI scores from three AI-based computer-aided detection systems (AI-1, AI-2, and AI-3) were above or below the 90th percentile. (A) Mammograms from three screening time points (in 2009, 2011, and 2014) in an individual who was diagnosed in February 2014 (at age 73 years) with a left-sided 25-mm grade 2 invasive breast carcinoma, no special type (arrow). Mammographic breast density was classified as BI-RADS B on all three mammograms. (B) Mammograms from four screening time points (in 2009, 2011, 2013, and 2015) in an individual who was diagnosed in October 2015 (at age 65 years) with a left-sided 45-mm grade 2 lobular carcinoma (arrow). Mammographic breast density was classified as BI-RADS C on all four mammograms. Screen-detected cancers were defined as those diagnosed within 90 days for individuals who were recalled at screening (*).
SERAM 2026: AI chest triage cuts referrals without raising CT use
By Claudia Tschabuschnig
A real-world implementation study from a Spanish regional hospital suggests that AI-assisted chest radiograph triage may reduce specialist referrals without driving additional CT imaging.
June 4, 2026
An AI system highlights multiple abnormalities on a chest radiograph, including a pulmonary nodule (nódulo pulmonar), pleural effusion (derrame pleural), and alveolar syndrome/consolidation (síndrome alveolar).
AI detects lung cancer nodules well but shows low specificity
By Kate Madden Yee
The finding suggests the models offer “a potential role as adjunctive tools for ruling out malignancy” rather than classifying it.
June 4, 2026
Am 2020 06 26 16 29 2945 Cancer Lung 400
AI can mislead radiologists -- and make the error more persuasive
By Claudia Tschabuschnig
A study from Milan puts hard numbers on how often radiologists follow a wrong AI recommendation and whether explainable AI can help.
June 2, 2026
Grad-CAM heatmaps showing the AI model's areas of attention overlaid on standard mammography views, as displayed to radiologists during the XAI-assisted reading sessions.
4DMedical acquires contextflow to expand into European lung imaging
By AuntMinnie.com staff writers
4DMedical is entering the European market with its acquisition of contextflow.
June 1, 2026
Lung Technology Medicine 400
SERAM 2026: AI-assisted triage in deep neck infections
By Claudia Tschabuschnig
AI models trained on CT and laboratory data showed promise for predicting ICU admission, surgery and tracheostomy in patients with deep neck infections.
June 1, 2026
Valencia became the center of Spanish radiology from 20–23 May as the city hosted SERAM 2026, one of the country's largest medical imaging meetings.
AI diagnostic aid helps novice MRI readers, but experts not so much
By Kate Madden Yee
The findings point to where AI decision support delivers the most clinical value.
May 26, 2026
Chat Gpt 3
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.
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