UAH researcher looks to AI and neural networks to reduce wait times for lesion classification in breast cancer patients

One of the most agonizing experiences a cancer patient suffers is waiting without knowing: waiting for a diagnosis, waiting to get test results back, waiting to learn the outcome of treatment protocols. Now a researcher at The University of Alabama in Huntsville (UAH) is co-author of a paper in Nature Scientific Reports that studies the use of artificial intelligence (AI) and neuronal networks to significantly cut the time required for medical professionals to classify lesions in breast cancer ultrasound images.