AI Medical Compendium

An ultra-sensitive iontronic pressure sensor with femtosecond-laser-engraved microstructures for machine-learning-based tactile sensing.

Nanoscale Feb 11, 2026

Flexible pressure sensors that mimic human skin are attractive for electronic skin, soft robotics, and healthcare, but it remains difficult to combine ultrahigh sensitivity, wide range, and long-term stability in one device. Here, we present an ultra... read more

DL-assisted self-volume-calibrating colorimetric PAAHM sensors for water surveillance.

The Analyst Feb 11, 2026

This work introduces a colorimetric sensing platform based on sodium polyacrylate hydrogel microspheres (PAAHM) integrated with a deep learning-assisted self-volume calibration strategy for the efficient and quantitative detection of NH4+, PO43-, and... read more

Confined Space in Hollow Micro/Nano Structures: Boosting Supercapacitor Performance to New Heights.

Small (Weinheim an der Bergstrasse, Germany) Feb 11, 2026

High-performance electrode materials are key to advancing supercapacitor technology. Hollow micro- and nanostructured materials with confined space effects act as precise "nanoreactors." These materials effectively regulate ion transport kinetics, en... read more

epiGPTope: A Machine Learning-Based Epitope Generator and Classifier.

ACS synthetic biology Feb 11, 2026

Epitopes are short antigenic peptide sequences that are recognized by antibodies or immune cell receptors. These are central to the development of immunotherapies, vaccines, and diagnostics. However, the rational design of synthetic epitope libraries... read more

Multicentre development and validation of data-driven claims-based algorithms for identifying dermatomyositis and polymyositis in Japan.

Modern rheumatology Feb 11, 2026

OBJECTIVE: To develop and validate data-driven algorithms for identifying patients with dermatomyositis (DM) and polymyositis (PM) using Japanese administrative claims data. METHODS: This multicentre retrospective cross-sectional study included outpa... read more

Comparison and validation of multiple machine learning algorithms for predicting MDRO infection in catheter-related bloodstream patients: a multicenter cohort study.

Microbiology spectrum Feb 11, 2026

UNLABELLED: Early identification of patients at high risk for multidrug-resistant organism (MDRO) infection in catheter-related bloodstream infection (CRBSI) is crucial for precise antimicrobial therapy. This study aimed to develop and externally val... read more

Strategies for Safer Cefepime Use to Prevent Neurotoxicity Using the Electronic Health Record.

Critical care explorations Feb 11, 2026

Cefepime, a cornerstone antibiotic in critical care, is associated with underrecognized cefepime-induced neurotoxicity (CIN), particularly in patients 65 years old and older. The true incidence is unknown due to inconsistent monitoring and a lack of ... read more

A Large Language Model Approach to Functional Status Scale Assessment.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Feb 11, 2026

OBJECTIVES: To develop a fine-tuned version of the generative pretrained transformer (GPT)-4o artificial intelligence (AI) model able to estimate Functional Status Scale (FSS) scores among critically ill children. DESIGN: Secondary analysis of a pros... read more

Evaluating the reliability and guideline concordance of ChatGPT-5 in the management of vascular diseases: a cross-sectional expert-based assessment.

The Journal of cardiovascular surgery Feb 11, 2026

BACKGROUND: Artificial intelligence (AI) tools such as large language models are increasingly used in clinical decision support, yet their reliability in vascular medicine remains uncertain. This study evaluated the accuracy and guideline concordance... read more

Commercially Available Artificial Intelligence Score on Preoperative Mammography for Prediction of Future Breast Cancer After DCIS Treatment.

AJR. American journal of roentgenology Feb 11, 2026

Background: Mammographic artificial intelligence (AI) systems have been explored for future breast cancer risk prediction. Objective: To investigate associations of scores from a commercial AI system for mammographic breast cancer detection and diagn... read more

Artificial Intelligence Medical Compendium