AI Medical Compendium

Artificial Intelligence Models Using Magnetic Resonance Imaging to Predict Response to Chemoradiotherapy in Rectal Cancer: A Systematic Review.

ANZ journal of surgery May 5, 2026

BACKGROUND: Pathological complete response (pCR) following neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC) is a key prognostic marker with implications for response-adapted management. Although magnetic resonance imaging... read more

Integrating Theory and Experiment with Graph Neural Networks to Classify Molecular Self-Assembly on Metal Surfaces.

Nano letters May 5, 2026

We introduce a graph neural network framework that integrates density functional theory (DFT) calculations and scanning tunneling microscopy experimental data to predict molecular self-assembly behavior on metal surfaces. We constructed a data set co... read more

A Triple-Perception Adaptive Network for In Vivo Organ Recognition Using Diffuse Reflectance Hyperspectral Imaging.

Analytical chemistry May 5, 2026

Near-infrared diffuse reflectance hyperspectral imaging (HSI), as an emerging noninvasive imaging technology, captures organ-specific spectral information, but the spectrum may be different between individuals and changes with physiological states. A... read more

Artificial intelligence for analysing antibiotic use: an exploratory study in a tertiary care paediatric hospital in Italy.

The Journal of antimicrobial chemotherapy May 5, 2026

BACKGROUND: Monitoring antibiotic consumption and resistance is central to antimicrobial stewardship (AMS). However, this is particularly challenging in paediatrics due to weight-based dosing and heterogeneous patient populations. OBJECTIVES: To expl... read more

What FDA Clearance Does, and Does Not, Mean for Artificial Intelligence.

Annals of internal medicine May 5, 2026

Evaluating AI-Enabled Technologies for Atrial Fibrillation Detection: A Systematic Review of Diagnostic Performance.

Critical pathways in cardiology May 5, 2026

BACKGROUND: Atrial fibrillation (AF) is the most common sustained arrhythmia worldwide and a major contributor to stroke and cardiovascular morbidity. Conventional diagnostics, including electrocardiograms (ECG) and ambulatory monitors, are limited b... read more

Machine learning enabled molecular dynamics-Monte Carlo framework for nanoconfined fluid adsorption.

Communications chemistry May 5, 2026

Nanoconfined fluid is central to many engineering applications such as shale energy production, carbon sequestration, and molecular separations. While classical molecular dynamics (MD) simulation provides essential atomistic detail, its prohibitive c... read more

DDA/DIA mass spectrometry coupled with molecular networking and machine learning: high-coverage profiling of pyrrolizidine alkaloids.

Analytical and bioanalytical chemistry May 5, 2026

Pyrrolizidine alkaloids (PAs) are naturally occurring toxic secondary metabolites found in plants. However, the identification of PAs often relies on commercially available standards, which are expensive and limited in availability. To overcome this ... read more

A general-purpose framework for chemical reaction representation with atomic correspondence and flexible condition adaptation.

Journal of cheminformatics May 5, 2026

MOTIVATION: Organic synthesis is fundamental to the chemical industry, particularly in domains such as pharmaceutical development. While artificial intelligence offers powerful tools for modeling chemical reactions, current approaches are primarily l... read more

Predicting Protracted Recovery and Long-Term Loss of Independence after Major Surgery in Veterans.

Annals of surgery May 5, 2026

IMPORTANCE: Surgery often has lasting impacts on quality of life, which requires outcome measurement beyond 30 days. Even when long-term outcomes are measured, point-of-care risk calculators have not been developed for long-term outcomes. OBJECTIVE: ... read more

Artificial Intelligence Medical Compendium