AI Medical Compendium

Comparison of AI-based Chatbot Performance in Analyzing Clinical Scenarios versus Medical Residents: A Novel Approach in Chest Diseases Education.

Thoracic research and practice Apr 14, 2026

OBJECTIVE: Rapid advancements in artificial intelligence (AI) technologies offer new opportunities in medical education. The aim of this study is to compare the performance of large language models, specifically ChatGPT-4 and Gemini, in analyzing cli... read more

Integrated transcriptomic and clinical analysis of autism spectrum disorder reveals structured heterogeneity and links Methyl-CpG Binding Domain Protein 2 expression with symptom severity.

Psychiatry and clinical neurosciences Apr 14, 2026

AIM: Autism spectrum disorder (ASD) remains underexplored in Southeast Asia, with limited characterization of its molecular underpinnings and clinical heterogeneity. This study investigated transcriptomic variation and its relationship to clinical di... read more

Beyond Implementation: Neuroanesthesiologists as Artificial Intelligence CoCreators.

Journal of neurosurgical anesthesiology Apr 14, 2026

Contextualizing the Patient Blood Management (PBM) Program Through the Lens of Bioethical Principles.

Developing world bioethics Apr 14, 2026

In an increasingly specialized medical landscape, Patient Blood Management (PBM) has emerged as a multidisciplinary and ethically grounded approach to optimize patient care, reducing the risks associated with transfusions-particularly their inflammat... read more

Deep Learning Technology in Genomics, Radiotherapy, and Ophthalmology for Precision Medicine.

Journal of physiological investigation Apr 14, 2026

Intelligent magnetic nanomaterials: a trinity framework of programmability, field-driven actuation, and data-guided intelligence.

Nanoscale Apr 14, 2026

Intelligent magnetic nanomaterials (I-MNMs) represent a new generation of functional materials capable of sensing, learning, and adapting to dynamic environments. This work proposes a unified design framework that integrates structural programmabilit... read more

Expanding and Enhancing Neural Network-Based QM-AI Models for the Accurate Prediction of Halogen-π Interaction Energies in Protein Contexts.

Journal of chemical information and modeling Apr 14, 2026

In this study, we extend a previously introduced QM-AI strategy for predicting halogen···π interaction energies from a single aromatic model (representing phenylalanine) to multiple biologically relevant aromatic environments. Herein, neural network ... read more

Minimum joint space width demonstrates higher inter-and intra-observer reliability than Kellgren-Lawrence grading in knee osteoarthritis.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Apr 14, 2026

PURPOSE: The purpose of this systematic review was to compare the inter- and intra-observer reliability of Kellgren-Lawrence (KL) grading versus minimum joint space width (mJSW) measurement on knee radiographs, and to examine the influence of rater t... read more

Predicting Molecular Laser Properties from First-Principles Using Machine Learning-Based Nuclear Ensemble Approach Spectra.

Journal of chemical theory and computation Apr 14, 2026

The accurate prediction of absorption and emission spectra of molecular compounds using quantum mechanical (QM) methods is essential for understanding and designing laser materials, especially when experimental data are limited or inaccessible or whe... read more

Identifying demographic predictors of increased non-fatal opioid overdose risk among New York State Medicaid enrollees following the COVID-19 pandemic: an analysis of heterogeneous treatment effects.

Epidemiology (Cambridge, Mass.) Apr 14, 2026

BACKGROUND: Overdose rates in the U.S. rose dramatically during the COVID-19 pandemic. Well-documented racial and sociodemographic inequities in the impact of the pandemic suggest the potential for similar inequities for overdose. Our objective was t... read more

Artificial Intelligence Medical Compendium