Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 45,941 to 45,950 of 224,055 articles

Explainable machine learning prediction of tracheostomy after craniotomy for supratentorial intracerebral hemorrhage.

Scientific reports Mar 1, 2026
Accurate prediction of tracheostomy after craniotomy for supratentorial intracerebral hemorrhage (sICH) remains challenging. This study aimed to develop, externally validate, and interpret a machine learning model for individualized risk prediction. ... read more 

An integrated multi-hazard assessment using machine learning in the complex terrains of Northern Pakistan.

Scientific reports Mar 1, 2026
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PoseShot: hybrid CNN-BiLSTM transformer model for free throw action recognition via pose analysis.

Scientific reports Mar 1, 2026
The evaluation of basketball free throw techniques has traditionally relied on subjective assessments, which introduces inherent biases and inconsistencies in performance analysis. This study presents PoseShot, a novel dual channel hybrid CNN-BiLSTM-... read more 

Different Termination Diamond Yb Vacancy Color Centers on the (110) Surface: Ab Initio and Machine-Learning Molecular Dynamics.

Langmuir : the ACS journal of surfaces and colloids Mar 1, 2026
Yb vacancy color centers on diamond (110) surfaces are promising candidates for long-coherence solid-state qubits and scalable quantum networks. However, their performance is strongly affected by surface termination, where the mechanism of charge red... read more 

GRAIT-Growth Readiness in Artificial Intelligence Technologies: Quantifying the Comfort-Growth Paradox.

Cyberpsychology, behavior and social networking Mar 1, 2026
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An Explication and Classroom Field Study of the Virtual Human Interaction Lab's Expert (VHIL-E) LLM.

Cyberpsychology, behavior and social networking Mar 1, 2026
VHIL-E is the Virtual Human Interaction Lab's Expert, a large language model (LLM) representing the lab's research, teaching, and outreach on virtual and augmented reality. We first motivate the project and then present best practices for implementin... read more 

Sustainable Strategies in Tuberculosis Management: Bridging Ethnobotanical Pharmacology, Advanced Drug Delivery, and AI-Driven Innovation.

Journal of evidence-based medicine Mar 1, 2026
Tuberculosis (TB) persists as a leading infectious disease, with progress in global control complicated by emerging drug resistance, limited access to new therapies, and persistent health disparities. This review presents a comprehensive synthesis of... read more 

Master of Metals2: a graph neural network based architecture for the prediction of zinc binding sites in protein structures.

Briefings in bioinformatics Mar 1, 2026
Zinc ions play essential structural and catalytic roles in a wide range of proteins. Accurate prediction of their binding sites is crucial for structural and functional annotation. We present MoM2, a web-accessible tool for predicting zinc-binding si... read more 

Could statistical potential models achieve comparable or better performance than deep learning models?

Briefings in bioinformatics Mar 1, 2026
Accurately predicting protein-ligand interactions is vital for structure-based drug discovery. Although deep learning (DL) models have shown strong performance, the potential of traditional statistical potentials under data-limited conditions remains... read more 

Integrating feature selection with unsupervised deep embedding for clustering single-cell RNA-seq data.

Briefings in bioinformatics Mar 1, 2026
Single-cell RNA sequencing (scRNA-seq) enables high-resolution analysis of gene expression at the individual cell level, with clustering serving as a critical step for identifying distinct cell populations. Due to the high dimensionality and sparsity... read more 
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