Men and women have "distinct brain organization patterns" according to a new Stanford Medicine study. The findings were published in the "Proceedings of the National Academy of Sciences" journal on Tuesday. According to Stanford Medicine's statement on the study, it was conducted utilizing a new artificial intelligence model to scan around 1,500 brains. The AI was then instructed to determine whether the brain scan came from a man or a woman, predicting correctly with a 90% accuracy rate. "A key motivation for this study is that sex plays a crucial role in human brain development, in aging, and in the manifestation of psychiatric and neurological disorders," Vinod Menon, PhD, professor of psychiatry and behavioral sciences and director of the Stanford Cognitive and Systems Neuroscience Laboratory, said.

While scientists continue their fight against SARS–CoV–2, one of the deadliest viruses in the last ten years, with antigen diagnostic tests, tests that help diagnose and prognosis, drugs, and vaccine inventions, informatics mostly continue to work on early detection diagnosis, prognosis, and prediction in this period. The aim is to reveal systems with a low margin of error that can help the workload of healthcare professionals and early diagnosis and initiation of treatment. The most commonly used computer vision (automation of the processes of vision and perception in humans, high–level interpretation on digital images or videos on the computer) is the processing of radiological images. Automation of the same image interpretation process for the performance of many applications and imaging results can be easily accomplished with complex and powerful computational platforms of large–scale data such as Deep Learning. With deep understanding, the manual design of these features is eliminated, and a large amount of different classification and regression tasks are completed with higher accuracy.