The second eHealth Forum on Strategic Challenges in Digital Transformation of Healthcare will take place in Poland from 14-15 September.
The event will be hosted by the Medical University of Gdansk Centre for Integrated Care and eHealth and Polskie Towarzystwo Progamow Zdrowotnych, in cooperation with Healthcare Information and Management Systems Society (HIMSS) Europe and Integrating the Healthcare Enterprise (IHE)-Europe.
The forum will connect industry leaders, medical professionals, and government representatives to discuss challenges and actions in e-health.
More than 20 speakers will present, including Charles Parisot, Stephane Spahni, and Karima Bourquard from IHE-Europe; Hal Wolf and John Rayner from HIMSS; Agnieszka Kister from the Polish Ministry of Health; and Marcin Wegrzyniak from the Centre of Healthcare Information in Poland. Delegates will also hear from users, patient groups, and vendors.
For more information, click here.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
