Tel Aviv University uses ‘Deep Learning’ to assist overburdened diagnosticians

Some 2 billion X-rays are performed around the world every year. But the average radiology clinic is understaffed. Radiologists are burdened with a growing workload, allowing little time to comprehensively evaluate images — leading to misdiagnoses and more serious consequences. Now a Tel Aviv University lab is engineering practical solutions to meet the demands of radiologists. Prof. Hayit Greenspan’s Medical Image Processing Lab in the Department of Biomedical Engineering in the TAU Faculty of Engineering has developed a wide variety of tools to facilitate computer-assisted diagnosis of X-rays, CTs and MRIs, freeing radiologists to attend to complex cases that require their full attention and skills. “There is a shortage of radiologists, and their workload continues to grow. This means that some X-rays are never read or are only read following…


Link to Full Article: Tel Aviv University uses ‘Deep Learning’ to assist overburdened diagnosticians