Recent Neurology & Neuroscience coverage: AI is standardizing fragmented neuroimaging and predicting disease risk from multi-modal biomarkers, with mechanistic understanding increasingly grounded in each patient's molecular profile. The…

New transportability methods reveal where mass drug administration for malaria is most effective, providing a scalable framework for evidence-based geographic targeting in global health.

Pathology's new frontier: diagnosis without staining, prediction through quantification, and deployment in constrained settings. Generative models, integrated imaging, and specialized AI are reshaping how the field works at…

A systematic review of 11 orthopaedic randomized controlled trials involving artificial intelligence reveals critical reporting gaps in data transparency and code accessibility, despite average 81% compliance with CONSORT-AI…

A new study uses deep learning to detect and classify tertiary lymphoid structures—immune cell clusters in tumors—revealing their maturation state predicts patient survival and treatment response across multiple…

A deep learning model called GTBIS stratifies combined SCLC-LCNEC lung cancers based on histopathology, revealing dramatically different survival outcomes.

Automated evaluation metrics can effectively distinguish good from poor AI responses to patient hospitalization questions, providing a scalable alternative to human expert review—though careful reference selection is essential.

A multimodal deep learning model successfully predicts rapid kidney function decline after nephrectomy for renal cancer, potentially guiding surgical decisions in technically challenging cases.

Combining natural language processing analysis of children's essays with conventional risk factors substantially improves early identification of potential mental health disorders, according to a prospective birth cohort study.

Medical AI models exploit unintended shortcuts in training data—subtle biases that work in the lab but fail in clinical practice. G-AUDIT automatically identifies these hidden risks across any…