New AI model efficiently reaches clinical-expert-level accuracy in complex medical scans

Medical Xpress October 1, 2024
University of California, Los Angeles

UCLA researchers have developed a deep-learning framework that teaches itself quickly to automatically analyze and diagnose MRIs and other 3D medical images—with accuracy matching that of medical specialists in a fraction of the time. An article describing the work and the system’s capabilities is published in Nature Biomedical Engineering.

Unlike the few other models being developed to analyze 3D images, the new framework has wide adaptability across a variety of imaging modalities. The developers have studied it with 3D retinal scans (optical coherence tomography) for disease risk biomarkers, ultrasound videos for heart function, 3D MRI scans for liver disease severity assessment, and 3D CT for chest nodule malignancy screening. They say it provides a foundation that could prove valuable in...

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