AI Medical Compendium

MoRE-Net: An Interpretable and Modality-robust Model for Brain Tumor Grading.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Feb 10, 2026

PURPOSE: Interpretability and robustness are both critical for developing trustworthy artificial intelligence, especially in high-stakes domains such as medical diagnosis. However, few studies have explored how to enhance robustness within interpreta... read more

Data-driven subgroups for 3-year risk stratification of incident diabetes and complications in diabetes-free Chinese adults.

Chinese medical journal Feb 10, 2026

BACKGROUND: Substantial metabolic heterogeneity exists prior to the development of diabetes, creating opportunities for earlier and more precise intervention. This study aimed to analyze common clinical indicators in a diabetes-free population using ... read more

Domain adversarial gated bilinear attention networks for cross domain drug target interaction prediction.

Biochemical and biophysical research communications Feb 10, 2026

Accurate prediction of drug-target interactions (DTIs) is crucial for accelerating drug discovery. However, current computational methods often fail to learn discriminative interaction features and generalize effectively to novel, distribution-shifte... read more

Medical intelligence vs. artificial intelligence - How psychiatrists arrive at treatment algorithms.

Psychiatry research Feb 10, 2026

The rise of artificial intelligence and computational methods in clinical decision-making allows for a novel perspective on personalized psychopharmacology. While treatment guidelines bring forth treatment algorithms, their recommendations do not tak... read more

Trainable-parameter-free structural-diversity message passing for graph neural networks.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2026

Graph Neural Networks (GNNs) have achieved strong performance in structured data modeling such as node classification. However, real-world graphs often exhibit heterogeneous neighborhoods and complex feature distributions, while mainstream approaches... read more

Artifact-suppressed 3D retinal microvascular segmentation via multi-scale topology regulation.

Medical image analysis Feb 10, 2026

Optical coherence tomography angiography (OCTA) enables non-invasive visualization of retinal microvasculature, and accurate 3D vessel segmentation is essential for quantifying biomarkers critical for early diagnosis and monitoring of diabetic retino... read more

A physics-informed dual-branch fusion network for quantitative determination of total phosphorus in water using near-infrared spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 10, 2026

BACKGROUND: Quantitative determination of total phosphorus (TP), an indirectly absorbing aquatic indicator, using near-infrared (NIR) spectroscopy is challenged by high-dimensional, noisy, and nonlinear spectral data. Furthermore, traditional data-dr... read more

MnZn bimetallic cold-adapted nanozymes prepared by DBD plasma for in situ monitoring of volatile sulfur compounds and meat freshness inspection.

Food chemistry Feb 10, 2026

In this work, low-temperature plasma (LTP) technology was employed to fabricate a novel, cold-adaptive bimetallic MnZn-MOF nanozyme with triple enzyme-like activities. The MnZn-MOF nanozyme could maintain high catalytic activity at nearly 0 °C. The M... read more

Development of a highly accurate machine learning model for the differential diagnosis of ameloblastoma and odontogenic keratocyst on computed tomography images.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 10, 2026

OBJECTIVE: To develop a machine learning model using computed tomography (CT) images for preoperative differential diagnosis of ameloblastoma (AM) and odontogenic keratocyst (OKC), and to compare its performance with that of an oral and maxillofacial... read more

NIAID Biodosimetry Strategic Plan.

Radiation research Feb 9, 2026

In the face of emerging threats from natural disasters, nuclear accidents, and potential malicious use of radiation, the National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) has created the "2024 NIH Stra... read more

Artificial Intelligence Medical Compendium