Science publisher Springer is offering its artificial intelligence (AI) in medical imaging e-book, edited by three European informatics experts, for free download until August 2020.
The book is titled Artificial Intelligence in Medical Imaging: Opportunities, Applications and Risks. It provides a "thorough overview of the ongoing evolution in the application of AI within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging," according to Springer.
"AI-generated algorithms may be of help in the COVID-19 crisis," book editors Dr. Erik Ranschaert, PhD; Dr. Sergey Morozov, PhD; and Dr. Paul Algra, PhD, told AuntMinnieEurope.com via email. They added that the e-book has already been downloaded over 128,000 times since its 2019 launch.
![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)
