AI Medical Compendium

Deep learning-driven recognition of panoramic tumor microenvironment features in H&E sections and its application.

Journal for immunotherapy of cancer Apr 9, 2026

The tumor microenvironment (TME), composed of tumor cells together with stromal cells, immune cells, vascular networks, and other components, constitutes a complex ecosystem that plays a decisive role in tumor initiation, progression, metastasis and ... read more

Effect of a mobile health intervention optimised with artificial intelligence on blood pressure and other cardiovascular risk factors in adults with high blood pressure: rationale and design of My Intelligent Cardiac Assistant (MICArdiac) randomised controlled trial.

Open heart Apr 9, 2026

INTRODUCTION: Control of blood pressure (BP) continues to be a challenge globally. Clinical trials have shown home BP monitoring and text-message interventions to lower BP. Integrating these to personalise supportive messaging in response to changing... read more

DIA-PINN. A physics-informed machine learning method to estimate global intrinsic diastolic chamber properties of the left ventricle from pressure-volume data.

American journal of physiology. Heart and circulatory physiology Apr 9, 2026

Background: Pressure-volume (PV) loop analysis remains the gold standard for assessing the intrinsic global diastolic properties of the left ventricle (LV). Traditional fitting techniques rely on local, phase-constrained fittings and are limited due ... read more

Radiology reporting in the age of artificial intelligence: implications for patient safety.

BMJ quality & safety Apr 9, 2026

The Society for Craniofacial Genetics and Developmental Biology 48th Annual Meeting.

American journal of medical genetics. Part A Apr 9, 2026

The Society for Craniofacial Genetics and Developmental Biology (SCGDB) held its 48th Annual Meeting at the University of Minnesota in Minneapolis on September 29-October 1, 2025. On the first day of the meeting, Drs. Timothy Cox and Jennifer Fish we... read more

Reassurance-Focused First-Trimester Euploidy Screening With Machine Learning.

Prenatal diagnosis Apr 9, 2026

OBJECTIVE: To develop and internally validate a machine-learning (ML) model for first-trimester screening that prioritizes fetal euploidy reassurance and to compare its performance with the conventional Combined Screening Test (CST). METHODS: This re... read more

Improved tumor-only variant calling and mutation burden estimation with VarNet-T.

Nature communications Apr 9, 2026

Somatic variant calling algorithms typically detect mutations in cancer genomes by comparing sequence data from a tumor sample against a matched normal sample. However, matched normal samples are often unavailable in clinical diagnostics or retrospec... read more

The Smart Inertial Device Data from Human Activities dataset.

Scientific data Apr 9, 2026

The proliferation of smart devices with inertial measurement units has driven human activity recognition (HAR) research for several years. However, existing datasets like the Smartphone and Smartwatch Activity and Biometrics Dataset (from the Wireles... read more

Deep neural network inference on an integrated, reconfigurable photonic tensor processor.

Nature communications Apr 9, 2026

Artificial neural networks set the pace in machine vision, natural language processing, and scientific discovery, but their performance depends on fast and efficient tensor computations. Analog photonic systems are a promising alternative to digital ... read more

Medical Spine Sagittal MRI Dataset for Segmentation and Foraminal Stenosis detection.