Novel #AI system addresses perceptual errors in radiology through multimodal analysis of gaze and interaction data https://t.co/Afcr8p1EVI @icmlconf #ICML2025 #MachineLearning #AI https://t.co/pVU441eKL7
Check out today's #FreeFriday @Radiology_AI article from #PubMedCentral! Integrating Clinical Workflow for Breast Cancer Screening with AI https://t.co/bZtvi5FchN #ML #DeepLearning #ArtificialIntelligence https://t.co/cUR65j4U5g
The Evolution of Radiology Image Annotation in the Era of Large Language Models https://t.co/xptgKHlbYs @Heart_SCCT #SCCT2025 #CVRad #radiology https://t.co/RhuO5d8RSQ
Researchers at the Hong Kong University of Science and Technology (HKUST) have developed an AI-powered medical imaging technology capable of reconstructing 3D bone structures using only two to four X-ray images. This innovation significantly reduces the need for CT scans, cutting patient radiation exposure by up to 99%. The technology aims to accelerate patient care by providing detailed bone imaging with minimal radiation risk. The development was highlighted in recent discussions at major machine learning and radiology conferences, emphasizing advances in AI applications in medical imaging and diagnostic workflows.