A recent Radiology journal study assesses the power of a fully automated deep learning (DL) model to produce deterministic outputs for identifying clinically significant prostate cancer (csPCa). Study ...

Yen-Yi Juo, MD, MPH, and Michael Doney, MD, discuss the potential use of whole-body MRI–derived body composition z-scores.

Machine learning enables cheaper and safer low-power magnetic resonance imaging (MRI) without sacrificing accuracy, according to a new study. According to the authors, these advances pave the way for ...

An open-label, phase I trial of the SIRPα monoclonal antibody, BI 770371, alone and in combination with the PD-1 inhibitor ezabenlimab in patients with advanced solid tumors. This is an ASCO Meeting ...

Mehralivand S, Yang D, Harmon SA, et al: A cascaded deep learning-based artificial intelligence algorithm for automated lesion detection and classification on biparametric prostate magnetic resonance ...

AI-enhanced MRI analysis revealed more than 10,000 hidden cortical lesions linked to disability and cognitive problems in ...

Good knowledge of programming (Python including familiarity with PyTorch); basic knowledge of linear algebra and calculus; basic knowledge of image processing and machine learning is preferred MS, PhD ...

Scientists often label cells with proteins that glow, allowing them to track the growth of a tumor, or measure changes in gene expression that occur as cells differentiate. While this technique works ...

AN AI enabled MRI scanner at a hospital in Warrington is halving scan times for knee patients.