
Informatics and AI expert Prof. Erik Ranschaert, PhD, is preparing for one of his toughest assignments ever: to climb Africa’s second highest mountain. He will be part of the support team, working as the medical doctor on a charity expedition for which his wife, Annelies, is an organizer.
Fit and ready for action: in advance of their trip to Kenya, Erik Ranschaert and his wife Annelies embark on a training hike in the Alps.Ranschaert, who is a past president of the European Society of Medical Imaging Informatics and a longstanding editorial advisor on AuntMinnieEurope.com, has signed up for Kili for Kids, a project organized by Lions Club International to raise funds for renovating Mwereni School for visually impaired children.
"Mount Kenya's over 5000 m high, so we're trying to upscale our VO2max," he said. "The preparation is pretty demanding -- and we also need to invest in supplementary hiking material. It's very interesting to learn about the climate on the mountain; I never suspected that during the night it could be freezing there in late August!"
Ranschaert's wife, Annelies Van de Poel, is a key member of the fundraising effort, being the Belgian delegate for the five-day hike. There is a total of 17 female Lions representatives from different countries.
For further information and to make a donation, you can visit gofundme.com.













![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&fit=crop&h=112&q=70&w=112)






