AI model predicts 32 cancer tumor types from images already used in hospitals

A single AI model read routine cancer tissue slides and predicted tumor type, TP53 gene changes, RNA activity and some ...
Scientist Live

New scientific review gives medical imaging foundation models a clinical reality test

Medical imaging foundation models are changing how AI interprets scans, integrates clinical information, and supports ...
News-Medical.Net

Review examines how medical imaging foundation models are moved toward clinical use

AI is already widely used for lesion detection, disease classification, and outcome prediction in medical imaging, but most ...
ascopubs.org

A deep-learning model for immunotherapy efficacy prediction directly from H&E slides in head-neck squamous cell carcinoma (HNSCC).

Development and external validation of a recursive attention-based multimodal deep learning model (RAMs-NPC) for prognostic stratification in nasopharyngeal carcinoma: A retrospective study. This is ...
ascopubs.org

AI-driven large language models for multimodal prediction of homologous recombination deficiency using clinical features and histopathological whole-slide images.

Recurrence risk prediction using a large, multi-site observational dataset of patients with early breast cancer, including early-onset disease. Prediction of pathologic response using a taxane-based ...
News Medical

Unreliable datasets are shaping clinical prediction models

An investigation of two widely used health datasets reveals poor data provenance and potential reliability issues, raising concerns about the clinical prediction models built from them and prompting ...