A study by researchers from the U-M Medical School and Harvard University indicates the use of advanced machine learning for diagnosing brain tumors cuts the time needed for diagnosing tissue by 90 percent while maintaining considerable accuracy. Normally, diagnosing a brain tumor takes about 30 to 40 minutes, during which doctors would need to leave the operating room to put the samples through the rigorous process for analysis. With the help of advanced AI, however, this time can be cut down to 3 to 4 minutes. According to the study, the method that they have developed will advance diagnosis science by increasing efficiency and reduce the burden on the doctors themselves.
Related Posts
