Artificial intelligence approaches for schizophrenia prediction and its biomarkers using medical imaging data (opens in new tab)
BackgroundSchizophrenia (SZ) is a debilitating mental illness that adversely affects social and family interactions, ranking as a leading contributor to global disability. Existing diagnostic approaches, including MRI, PET, and EEG, underscore the necessity for effective predictive strategies to enhance management and reduce costs.ObjectiveThis review evaluates the application of artificial intelligence (AI) methodologies—specifically Machine Learning (ML) and Deep Learning (DL) in predicting...
Read the original article