AI Medical Compendium

Natural Language Processing for Surgical Quality Enhancement.

The Journal of surgical research Apr 18, 2026

INTRODUCTION: Unstructured clinical data, including operative reports and progress notes, contain critical surgical information that is often absent from structured electronic health record fields. Manual abstraction is time-consuming at scale. Natur... read more

Advancing brain age estimation: normative deviation mapping (NDM) for sensitive detection of pathological aging.

NeuroImage Apr 18, 2026

Brain age is a valuable neuroimaging-based biomarker for assessing brain health, typically estimated using machine learning (ML) models. However, ML approaches suffer from inherent bias, requiring post-hoc correction, and may mask age-related biologi... read more

ZFP36-ferroptosis axis as a key renal protective pathway in diabetic kidney disease.

Endocrine journal Apr 18, 2026

Diabetic Kidney Disease (DKD) is strongly related to ferroptosis, an iron-dependent form of programmed cell death characterized by the accumulation of lipid peroxides. While ferroptosis is a pivotal mediator in DKD pathogenesis, its upstream regulato... read more

Tackling small sample survival analysis via transfer learning: A study of colorectal cancer prognosis.

Artificial intelligence in medicine Apr 18, 2026

Survival prognosis is crucial for medical informatics. Practitioners often confront small-sized clinical data, especially cancer patient cases, which can be insufficient to induce useful patterns for survival predictions. This study deals with small ... read more

Non-European migrants with schizophrenia spectrum disorders in Swiss forensic and general psychiatric care facilities - A comparative study using machine learning.

Forensic science international Apr 18, 2026

Personal history of migration poses an important risk factor for schizophrenia spectrum disorders (SSD), which are also associated with a higher rate of criminal behavior. To enhance care for migrants, a vulnerable and often stigmatized group in both... read more

TransUNet for automated segmentation of intracranial aneurysms in digital subtraction angiography: A dual-center validation study.

European journal of radiology Apr 18, 2026

PURPOSE: This study systematically evaluated five deep learning models to validate their consistency in deriving clinical morphological and quantitative digital subtraction angiography (QDSA) hemodynamic biomarkers. METHOD: In this dual-center retros... read more

A modular deep learning pipeline for stromal TILs scoring in breast cancer H&E slides.

Computer methods and programs in biomedicine Apr 18, 2026

BACKGROUND AND OBJECTIVE: Tumor-infiltrating lymphocytes (TILs) are an important indicator of immune activity in breast cancer, yet scoring them consistently on H&E slides remains challenging in routine pathology. This work presents a modular deep le... read more

Covalently functionalized MoS2 nanopore with amino acids for label-free protein residue discrimination.

Biosensors & bioelectronics Apr 18, 2026

Precise detection of amino acids is critical for proteomics and molecular recognition. Nanopore sensing enables label-free single-molecule analysis but often lacks sufficient spatial resolution to control translocation dynamics and resolve protein st... read more

Enhanced diagnosis of diabetic retinopathy: integrating advanced algorithms for automated detection and classification.

International journal of ophthalmology Apr 18, 2026

AIM: To develop an automated diagnostic system for early detection of diabetic retinopathy (DR) using fundus images by identifying exudates, hemorrhages, and microaneurysms with advanced image processing and machine learning techniques. METHODS: Fund... read more

Artificial intelligence in vet practice.

The Veterinary record Apr 18, 2026

Artificial Intelligence Medical Compendium