AI Medical Compendium

Using Chatbot to Better Understand What Matters Most to Urogynecologic Patients.

Urogynecology (Philadelphia, Pa.) Feb 2, 2026

IMPORTANCE: Urogynecology patients increasingly investigate their problems using technology-based resources, but there is a lack of evidence surrounding the way they use these resources or how patients may describe their problems. OBJECTIVE: The aim ... read more

Use of a Machine Learning Program for Urogynecology Fellowship Applicant Review.

Urogynecology (Philadelphia, Pa.) Feb 2, 2026

IMPORTANCE: There is a gap in objective methods to review applications for advanced medical training. OBJECTIVE: The objective of this study was to evaluate the accuracy of a new machine learning-based residency and fellowship applicant review progra... read more

Information, certainty, and learning.

eLife Feb 2, 2026

More than four decades ago, Gibbon and Balsam (1981) showed that the acquisition of Pavlovian conditioning in pigeons is directly related to the informativeness of the conditioning stimulus (CS) about the unconditioned stimulus (US), where informativ... read more

Predicting Heterogeneity of Treatment Effects to Transcranial Direct Current Stimulation for Knee Osteoarthritis Pain and Symptoms: A Machine Learning Approach.

The Clinical journal of pain Feb 2, 2026

OBJECTIVES: We identified key predictors of the heterogeneity of treatment effects of transcranial direct current stimulation (tDCS) in individuals with knee osteoarthritis (KOA). METHODS: This is a secondary analysis of a randomized clinical trial i... read more

Interpretable Machine Learning for Solid-State Batteries.

ACS nano Feb 2, 2026

Solid-state batteries (SSBs) have emerged as promising candidates for next-generation energy storage systems due to their high energy density and enhanced safety. In recent years, machine learning (ML) has become a transformative tool in battery rese... read more

Teaching critical and systems thinking early: building the cognitive infrastructure for informed judgment and responsible citizenship.

Journal of microbiology & biology education Feb 2, 2026

This editorial argues for teaching critical thinking and systems thinking explicitly and early using small, repeatable classroom reasoning routines that strengthen students' ability to evaluate evidence, justify claims, and anticipate trade-offs. In ... read more

Near-infrared spectroscopy and machine-learning evaluation of PVA/β-TCP biomaterial composites.

Bio-medical materials and engineering Feb 2, 2026

A composite of polyvinyl alcohol (PVA) and beta-tricalcium phosphate (β-TCP) was synthesized as a biomaterial filament for 3D printers and its analytical and chemical evaluation was performed. PVA powder and β-TCP were mixed in the range of 0-20 wt% ... read more

The Letter to the Editor Regarding "Evaluation of a Novel Veterinary Dental Radiography Artificial Intelligence Software Program".

Journal of veterinary dentistry Feb 2, 2026

AI-Guided Design of pH- and Redox-Responsive Lignin@GO@ZIF-8 Nanocarriers for Targeted Co-Delivery of 5-Fluorouracil and Metformin in Prostate Cancer Therapy.

Small (Weinheim an der Bergstrasse, Germany) Feb 2, 2026

Prostate cancer therapy is limited by systemic toxicity and inefficient tumor-selective delivery. Here we report a multi-stimuli-responsive nanocomposite, Lignin@GO@ZIF-8, that co-delivers 5-Fluorouracil (5-FU) and metformin and couples pH- and redox... read more

Discovery of an Artificial Intelligence Label Feedback Loop: How the Success of a Clinically Implemented Artificial Intelligence Algorithm Has Created an Unforeseen Challenge to Algorithm Retraining.

Clinical chemistry Feb 2, 2026

BACKGROUND: Artificial intelligence (AI) augmented laboratory tests can improve quality, efficiency, cost-effectiveness, and staff satisfaction. However, the clinical success of these tests can introduce unforeseen challenges for model retraining. Th... read more

Artificial Intelligence Medical Compendium