Michael Allen[email protected]AIAI tool needs more diverse skin types in datasetsA dermatology algorithm powered by artificial intelligence (AI) that can identify a range of skin conditions doesn't work effectively on black skin, according to researchers in Uganda and Sweden. The study highlights the potential risks of AI-based healthcare and the need to ensure diversity in datasets used to train algorithms.November 28, 2019Clinical NewsMRI reveals molecular composition of the brainResearchers from Israel have developed a model that compares the water content of the brain with measures of physical properties obtained from MRI scans to calculate the molecular composition of lipids in the brain. The technique may help detect changes in the biological makeup of the brain over time and identify key changes associated with diseases like Alzheimer's.August 21, 2019Page 1 of 1Top StoriesAIResearchers optimistic on healthcare AI privacy risk fixesPrivacy concerns with healthcare foundation models (FMs) can be mitigated through safeguards embedded into FM design.MRIEAU: Experts highlight imaging advances in prostate cancer screeningMRIMRI biomarkers poised to reshape multiple sclerosis managementAIWhen AI and radiologists miss the same thingECR 2026GE highlights new CT, molecular imaging scanners at ECR 2026