Researchers at the University of Michigan Medicine in the United States have developed an artificial intelligence tool that can diagnose signs of brain cancer in less than 90 seconds.
The results of a study published in the journal Nature Medicine reveal that the new tool can identify genetic markers compatible with gliomas that arise and spread in the brain, with an average accuracy of more than 90 percent, after researchers analyzed tumor samples of more than 150 affected patients, according to the report. move locationFox News“.
University of Michigan neurosurgery professor Todd Holon said this AI-based tool has “the potential to improve the speed of diagnosis and care for patients with fatal brain tumors.”
Holon, who is the creator of the artificial intelligence tool known as “DeepGlioma” and the lead author of the study, revealed that the new method, which uses optical imaging to take real-time images of brain tumor tissue, shows up to 90 percent accuracy in finding cancer genes.
Doctors hope that the new invention will provide more hope for glioma patients, as the average life for patients with malignant gliomas does not exceed 18 months from their spread.
While the development of drugs to treat tumors remains essential to overcome this deadly cancer, the study shows that only less than 10 percent of glioma patients are registered in clinical trials of drugs, and researchers aspire that the new tool will help patients to register early in trials.