AI Medical Compendium

Clinical Validation of Deep Learning-Accelerated versus Wave-CAIPI Postcontrast 3D T1-MPRAGE for Evaluation of Intracranial Enhancing Lesions.

AJNR. American journal of neuroradiology Jan 30, 2026

BACKGROUND AND PURPOSE: Deep learning (DL) reconstruction methods have shown promise in accelerating 2D MRI sequences but have yet to be extensively validated for routine 3D volumetric MRI applications. Our purpose was to assess the diagnostic qualit... read more

Neural Network Prediction of Response Factors for Extractables and Leachables in Pharmaceuticals and Medical Devices.

PDA journal of pharmaceutical science and technology Jan 30, 2026

Ensuring safety of patients using pharmaceuticals and medical devices through chemical characterization requires accurate estimation of extractables and leachables to ensure tolerable risk from unintentional exposure to these chemicals. However, this... read more

CABaNe, an automated, high throughput ImageJ macro for cell and neurite analysis.

eNeuro Jan 30, 2026

Measuring neurite length is crucial in neurobiology because it provides valuable insights into the growth, development, and function of neurons. In particular, neurite length is fundamental to study neuronal development and differentiation, neurons r... read more

Health trajectories of patients with amyotrophic lateral sclerosis before and after initiation of non-invasive ventilation: a French nationwide database analysis.

Thorax Jan 30, 2026

BACKGROUND: Management of amyotrophic lateral sclerosis (ALS) is complicated by heterogeneous presentation and unpredictable disease course. This study described disease trajectories before and after initiation of non-invasive ventilation (NIV) thera... read more

AI-driven analysis of patient safety reports using large language models: an exploratory multiple methods study.

BMJ quality & safety Jan 30, 2026

INTRODUCTION: Patient safety event reporting systems are widely used, yet organisations face challenges analysing the high volume of incident reports. While low-harm events represent the majority of submissions, they are rarely examined systematicall... read more

Alzheimer's disease diagnosis support for brain perfusion SPECT scans in a real-world clinical cohort.

Journal of Alzheimer's disease : JAD Jan 30, 2026

BackgroundDementia diagnosis is challenging and often delayed. Brain imaging techniques such as single-photon emission computed tomography (SPECT) imaging can help identify subtle changes in brain perfusion. Artificial intelligence methods may suppor... read more

XRepDDA: An Interpretable Drug-Disease Association Prediction Framework Leveraging Pretrained Chemical Language Models.

Journal of chemical information and modeling Jan 30, 2026

Drug repositioning aims to identify new indications for existing drugs, offering a cost-effective and time-efficient strategy for therapeutic development. Its core challenge lies in accurately predicting potential drug-disease associations (DDAs). Ho... read more

Trustworthy prediction of enzyme commission numbers using a hierarchical interpretable transformer.

Nature communications Jan 30, 2026

Accurate and trustworthy prediction of Enzyme Commission (EC) numbers is critical for understanding enzyme functions and their roles in biological processes. Despite the success of recently proposed deep learning-based models, there remain limitation... read more

Improving the value of population health data for health policy and decision-making using machine learning algorithms in EQ-5D-5L index estimation.

Scientific reports Jan 30, 2026

Mechanical and durability performance prediction of geopolymer incorporating ferrosilicon slag and aluminum powder using machine learning techniques.