AI Medical Compendium

End-user perspectives on the use of personal health information for AI development and the use of AI in care: an interview study.

Journal of primary health care May 21, 2026

INTRODUCTION: The rapid advancement of artificial intelligence (AI) in health care necessitates that decision-makers consider end-user views on secondary data use and the application of AI in clinical settings. AIM: The aim of this study was to explo... read more

A Simplified, Tier-Based Method for Clinical Evaluation of Diastolic Function.

European heart journal. Cardiovascular Imaging May 21, 2026

Assessment of left ventricular diastolic function is inherently complex, yet it must be sufficiently simplified for consistent application in clinical practice. Interpretation is challenged by overlapping terminology, load dependence of hemodynamic v... read more

Improved Prediction of Invasive Bacterial Infections in Febrile Infants Using Machine Learning.

Hospital pediatrics May 21, 2026

BACKGROUND: Existing guidelines for febrile infants aged 8 to 60 days use clinical appearance, age, and laboratory test results to assess the risk of invasive bacterial infections (IBIs) with variable performance. This study aimed to (1) develop and ... read more

Teaching Ethical AI Use in Graduate Nursing Programs: A Scaffolded Model for Professional Identity Formation.

The Journal of nursing education May 21, 2026

BACKGROUND: Generative artificial intelligence (AI) has entered graduate nursing education faster than programs can respond, raising questions about professional identity formation, epistemic accountability, and academic integrity. METHOD: This conce... read more

Molecular design of electrolyte additives for aqueous zinc-ion batteries via reinforcement learning and quantum chemistry calculations.

The Journal of chemical physics May 21, 2026

The use of electrolyte additives is regarded as a cost-effective strategy to regulate the components of aqueous zinc-ion batteries (AZIBs) and to improve their overall electrochemical performance. Here, we demonstrate an artificial-intelligence-guide... read more

Simulating non-Markovian open quantum dynamics by exploiting physics-informed neural network.

The Journal of chemical physics May 21, 2026

This work integrates the physics-informed neural network (PINN) approach into the neural quantum state framework to simulate open quantum system dynamics and to circumvent the computationally expensive time-dependent variational principle required in... read more

Gender disparities in random blood glucose levels among Pakistani adults with type 2 diabetes: a cross-sectional analysis.

Scientific reports May 21, 2026

This study investigated gender disparities in random blood glucose (RBS) levels among Pakistani adults with Type 2 Diabetes (T2D), examining biological and sociocultural determinants. A cross-sectional analysis of 300 age-matched adults with T2D (150... read more

Predicting PROTAC degradation activity and selectivity of effective E3 ligase through harnessing a combination of AtomPair fingerprints and multiple machine learning algorithms.

Journal of molecular graphics & modelling May 21, 2026

Proteolysis targeting chimeras (PROTACs) are drugs that recruit target proteins and E3 ligases to leverage the ubiquitin-proteasome system (UPS) for specific degradation of proteins. This approach has received significant attention because of their a... read more

Facilitatory effects of visual perspective taking level 2 for human and robotic avatars.

Acta psychologica May 21, 2026

Visual perspective taking (VPT) is a crucial component of social cognition: when engaging in activities such as preparing meals together, moving a couch together, playing tennis, and discussing our surroundings, the ability to keep track of what othe... read more

The role of AI-mediated metacognitive interventions in EFL writing development: A cross-sectional study of textual accuracy, lexical sophistication, and cohesion.