Michael Allen[email protected]Artificial IntelligenceAI 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 StoriesMRIPI-RADS v2.1 is 'highly sensitive' for prostate cancer detection on MRIPI-RADS v2.1 shows high sensitivity for categorizing clinically significant prostate cancer on MRI at both the patient and lesion levels, German researchers have found.CTBreast CT gains clinical momentum in EuropeCTBelgian study shows AI's promise in coronary ischemiaArtificial IntelligenceAI on the Aegean: EuSoMII congress comes to CreteDigital X-RayAI fracture detection tools tested head-to-head