AI Medical Compendium

A federated learning framework for ethical dynamic treatment allocation across heterogeneous hospitals.

Journal of biomedical informatics Jan 16, 2026

OBJECTIVE: In this paper, we propose an adaptive federated learning framework to learn optimal treatments for individual hospitals that possibly serve different patient populations. The proposed framework can enable the design of more efficient treat... read more

Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg.

NeuroImage Jan 16, 2026

Magnetic resonance imaging (MRI) has played a crucial role in fetal neurodevelopmental research. Structural annotations of MR images are an important step for quantitative analysis of the developing human brain, with Deep Learning providing an automa... read more

White matter microstructure predicts effort and reward sensitivity.

NeuroImage Jan 16, 2026

From rodents to humans, animals constantly face a central question: is the reward worth the effort? Effort and reward sensitivity in such situations vary substantially across individuals and ultimately shape goal-directed behavior. Yet, the neuroanat... read more

Development of a Patient-Specific Fontan Failure Risk Calculator Using Machine Learning - A Step Towards Personalized Medicine.

The Journal of thoracic and cardiovascular surgery Jan 16, 2026

OBJECTIVE: The Fontan operation is the final step in staged palliation for patients with single ventricle physiology. It has extended their life expectancy and improved their quality of life. However, long-term complications and Fontan failure remain... read more

Quality of Head and Neck Diffusion-weighted MR Imaging Using a Combination of the Periodically Rotated Overlapping Parallel Lines with Enhanced Reconstruction (PROPELLER) Sequence and Deep Learning Reconstruction.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Jan 16, 2026

PURPOSE: To evaluate whether periodically rotated overlapping parallel lines with enhanced reconstruction-diffusion-weighted imaging (PROPELLER-DWI) combined with deep learning-based reconstruction (DLR) improves head and neck DWI, we conducted a pri... read more

LGDUnet: A dual-branch network for weakly supervised gland segmentation in H&E stained histopathological images.

Biomedical physics & engineering express Jan 16, 2026

Glandular segmentation holds significant importance in the pathological analysis of hematoxylin and eosin (H&E) stained images, particularly in the diagnosis and treatment of breast and colorectal cancers. Accurate segmentation of glandular structure... read more

AI and AR based digital reconstruction of Liangshan Yi lacquerware.

Scientific reports Jan 16, 2026

The lacquering technique of Yi lacquerware, a national intangible cultural heritage object (ICHO) of China, is distinguished by its unique forms, patterns, and colors, embodying profound religious beliefs and aesthetic connotations. Currently, this t... read more

Evaluating AI Research Quality in Myasthenia Gravis: A Longitudinal Study Using the CLARITY Framework (2020-2024).

Journal of medical systems Jan 16, 2026

Machine Learning-Driven Identification and In Vitro Validation of the APOBEC3B-ANLN Regulatory Axis in Adrenocortical Carcinoma.

Endocrine Jan 16, 2026

Radiologist burnout: AI's true black box.

European radiology Jan 16, 2026

Multiple articles have touted the longitudinal promise of artificial intelligence (AI) in radiology, including projections of streamlining repetitive tasks, improving workflow, and reducing physician burnout. The purpose of this article is to review ... read more

Artificial Intelligence Medical Compendium