Artificial Intelligence Medical Compendium

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

Showing 22,321 to 22,330 of 216,627 articles

A 2000-2023 dataset for measuring China's biodiversity risk.

Data in brief May 6, 2026
The increasing frequency of extinctions of biological populations has important implications for related sectors. Consequently, the risks associated with biodiversity are receiving increasing attention and are being recognized as entirely new risk fa... read more 

The stack overflow recommendations dataset (SORD) - A large-scale curated dataset of recommendations related stack overflow questions, answers and comments.

Data in brief May 6, 2026
Developer discussions particularly on programming related questions answering (Q&A) sites, contain useful information, which, if mined and analysed carefully can be transformed into insightful recommendations for developers about which software to us... read more 

Combining EEG, event-related potentials, and MRI biomarkers for detection of mild cognitive impairment: A machine learning approach.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology May 6, 2026
OBJECTIVE: Mild cognitive impairment (MCI) is an intermediary stage between typical cognitive aging and dementia. Identifying reliable biomarkers for early detection of MCI is crucial for slowing disease progression. This study explored multimodal bi... read more 

Frangipani, hibiscus, marigold, and rose leaf imageimagemagei dataset for plant species identification.

Data in brief May 6, 2026
The Frangipani-Hibiscus-Marigold-Rose (FHMR) Leaf Image Dataset is a curated, field-collected image resource designed to support reproducible research in plant species identification and computer vision-based agricultural applications. The dataset co... read more 

An upper limb stroke rehabilitation exercise video dataset.

Data in brief May 6, 2026
Stroke is one of the leading causes of disability worldwide with a disproportionately high burden in low and middle-income countries. In such countries, limited access to rehabilitation centres, shortage of trained physiotherapists and socioeconomic ... read more 

Automated full-text screening and accelerated reviews using large language models with context-aware agents: an exploratory analysis in biomarker research.

European heart journal. Digital health May 5, 2026
AIMS: Artificial intelligence (AI) tools utilizing large language models (LLMs) can accelerate scientific literature reviews by automating title, abstract, and full-text-based screenings of relevant patient populations and biomarkers. We developed an... read more 

Deep learning model for genotype prediction from echocardiographic videos in non-ischaemic dilated cardiomyopathy.

European heart journal. Digital health May 5, 2026
AIMS: Non-ischaemic dilated cardiomyopathy (DCM) is frequently characterized by the presence of pathogenic germline variants, and genotype positivity predicts poor prognosis. Despite its importance, genetic testing remains underutilized in the curren... read more 

Machine learning - optimized molecularly imprinted electrochemical sensor based on Bi-rich BiOBr/BC@AuNPs for trace determination of sulfachlorpyrazine sodium in food.

Food chemistry May 5, 2026
A highly sensitive and selective molecularly imprinted electrochemical sensor was developed for the detection of sulfachloropyrazine sodium (SPZ), assisted by machine learening (ML) optimization. The sensing platform was fabricated using novel Bi-ric... read more 

DeepPath: overcoming data scarcity for protein transition pathway prediction using physics-based deep learning.

Chemical science May 5, 2026
The structural dynamics of proteins play a crucial role in their function, yet many current deep learning methods chiefly yield high-resolution static snapshots of single conformations, with dynamics captured indirectly or at limited resolution unles... read more 

VQ-DoseNet: A vector quantized model for stochastic radiotherapy dose prediction.

Medical image analysis May 5, 2026
Radiotherapy treatment planning is a time-consuming process, and dose prediction models are crucial for improving efficiency. Traditional deep learning-based models often produce deterministic outputs, which fail to capture the inherent variability i... read more 
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