Discover how BiomedParse redefines biomedical image analysis, tackling complex shapes and scaling new heights in precision and efficiency across nine imaging modalities! Study: A foundation model for ...
Salt Lake City-based Intermountain Healthcare will integrate machine learning into its medical imaging analysis, thanks to a collaboration with Zebra Medical Vision. Intermountain will deliver imaging ...
News Medical on MSN
AI model forecasts bone removal in cochlear implant surgery
Cochlear implant surgery helps people with severe hearing loss by placing an electronic device inside the inner ear. To reach the inner ear, surgeons must first remove part of a bone behind the ear, ...
From L-R: Quibim COO Alberto Valiente, CEO Ángel Alberich-Bayarri, VP Finance & Business Intelligence Javier Sáez. Photo by Quibim, S.L. As the saying goes, a picture is worth 1,000 words. But when it ...
In today's data-driven healthcare landscape, medical imaging stands at the forefront of diagnosis and treatment planning. From X-rays and MRIs to CT scans and ultrasounds, these images provide crucial ...
Annotation-Free Whole-Slide Image Analysis Method to Assess Immune Infiltration in Colorectal Cancer
Immunoprofiling at an Institutional Scale Reveals That High Numbers of Intratumoral CD8+ and PD-1+ Cells Predict Superior Patient Survival Across Major Cancer Types Independent of Major Risk Factors ...
SAN MATEO, Calif.--(BUSINESS WIRE)--RapidAI, the world leader in AI-driven medical imaging analysis and coordinated care, today announced the launch of its Rapid Enterprise⢠Platform, powered by Rapid ...
Researchers at The Hong Kong University of Science and Technology (HKUST) have developed a groundbreaking AI technology that reconstructs precise 3D bones and organs models from minimal X-ray images, ...
Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...
Assessing the risk of radiation-induced hematologic cancer from medical imaging in children and adolescents might support informed decisions on the use of imaging. We followed a retrospective cohort ...
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