Medical imaging is one of the most promising fields for use of AI tools, as pattern recognition and large data sets can enhance human diagnosis (e.g., by radiologists) or even compete with them. A ...
In a recent study published in The Lancet Digital Health, researchers discuss the development and validation of a combined model comprising imaging, clinical, and cell-free deoxyribonucleic acid (DNA) ...
Time Medical India partners neurosurgeon Dr Iype Cherian to develop DRIS–iMRI Medharanya — an AI-driven, AR-integrated ...
Federated imaging network startup Avandra has raised $17.5 million in series A funding to give researchers access to larger volumes of imaging data to train AI models or develop novel therapies. The ...
Even though the Food and Drug Administration (FDA) has approved more than 200 commercial radiology AI products, substantial obstacles must be overcome before we are likely to see widespread successful ...
Machine learning sharpens CAD prediction but falls short in detecting plaques most likely to cause cardiac events in patients ...
Anant Madabhushi For the last six years, Anant Madabhushi's lab on the campus of Case Western Reserve University has emerged as a global leader in the detection, diagnosis and characterization of ...
At the forefront of scientific research, our faculty are dedicated to advancing theoretical understanding and practical applications of AI technologies. RIT's College of Science faculty are actively ...
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