AI Medical Compendium

A multi-feature alignment fusion neural network model for red blood cell aggregation classification using ultrasonic radiofrequency data of blood.

Artificial intelligence in medicine Mar 4, 2026

Evaluation of red blood cell (RBC) aggregation is crucial for the early prevention and accurate diagnosis of diseases such as ischemic cardiovascular disease, type II diabetes mellitus, and sickle cell disease. Ultrasound technology is widely used in... read more

From accuracy to impact: Bridging the methodological gap in artificial intelligence for emergency department care.

The American journal of emergency medicine Mar 4, 2026

A universal machine learning model for the electronic density of states.

Digital discovery Mar 4, 2026

In the last few years several "universal" interatomic potentials have appeared, using machine-learning approaches to predict energy and forces of atomic configurations with arbitrary composition and structure, with an accuracy often comparable with t... read more

Optimized HSSE-GC-MS and machine learning for forensic gender classification of human scent from clothing.

Analytica chimica acta Mar 4, 2026

BACKGROUND: Clothes are considered a valuable piece of evidence in forensic investigations because of the underlying information that can be extracted from them. Human scent is one kind of trace evidence that can be extracted from clothes, which can ... read more

Fully automated, deep learning, cardiac CT-based multimodal network for cardiovascular risk stratification in high-risk perioperative patients.

European heart journal. Digital health Mar 4, 2026

AIMS: Major adverse cardiac events (MACE) significantly impact perioperative morbidity and mortality. We aimed to develop a fully automated multimodal deep learning (DL) system integrating patient demographics, comorbidities, and coronary computed to... read more

LLM-SDaT: A knowledge-informed LLM framework for syndrome differentiation in TCM.

Neural networks : the official journal of the International Neural Network Society Mar 4, 2026

The rapid advancement of large language models (LLMs) offers significant potential for enhancing artificial intelligence applications in Traditional Chinese Medicine (TCM), particularly in improving the precision and interpretability of syndrome diff... read more

Hybrid equivalent circuit-deep neural network design of optically transparent metasurface with microwave RCS reduction.

iScience Mar 4, 2026

Metasurface-based ultra-wideband radar cross-section (RCS) reduction techniques that offer flexibility and optical transparency are strategically important for electromagnetic protection. Although many methods, including machine learning techniques, ... read more

Reflectance confocal microscopy in the management of lentigo maligna and lentigo maligna melanoma: a systematic review.

JPRAS open Mar 4, 2026

BACKGROUND: Lentigo maligna (LM) and lentigo maligna melanoma (LMM) are difficult to manage because of their subclinical extension and ill-defined margins, especially on chronically sun-damaged facial skin. Reflectance confocal microscopy (RCM), a no... read more

Digital Stethoscope-Derived Single-Lead Electrocardiogram and Artificial Intelligence to Detect Low Ejection Fraction: A Multicenter Observational Study.

Journal of cardiothoracic and vascular anesthesia Mar 4, 2026

OBJECTIVES: Identifying patients likely to benefit from an echocardiogram before surgery is prudent in resource-limited settings. Recently, artificial intelligence has facilitated the diagnosis of low ejection fraction (EF) from electrocardiograms. T... read more

Two-dimensional RMSD projections for reaction path visualization and validation.

MethodsX Mar 4, 2026

Transition state or minimum energy path finding methods constitute a routine component of the computational chemistry toolkit. Standard analysis involves trajectories conventionally plotted in terms of the relative energy to the initial state against... read more

Artificial Intelligence Medical Compendium