Artificial Intelligence Medical Compendium

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

Showing 52,891 to 52,900 of 225,341 articles

Comparative diagnostic capability of large language models in neurosurgery.

Journal of neurosurgery Feb 6, 2026
OBJECTIVE: OpenAI, Google, and Microsoft have recently developed popular large language models (LLMs) with incredible clinical applications. LLMs specific to neurosurgery, such as AtlasGPT, have also been recently released. However, the comparative n... read more 

A cascaded CNN-LSTM framework for quantifying respiratory motion from surface electromyographic signals.

Physics in medicine and biology Feb 6, 2026
OBJECTIVE: Surface electromyographic (sEMG) signals of the diaphragm provide a valuable physiological signal for real-time respiratory monitoring, particularly in clinical applications such as radiotherapy tracking and intensive care, where accurate ... read more 

Deep phenotyping of suicidal ideation after discharge from psychiatric inpatient care: study protocol for an interdisciplinary, multicentre prospective observational study in Psychiatric University Hospitals.

BMJ open Feb 6, 2026
INTRODUCTION: Suicidal thoughts and behaviours (STB) are a critical public health concern, with 700 000 deaths by suicide each year. The period immediately following hospital discharge is associated with an elevated risk for suicide. Monitoring suici... read more 

Design and rationale of the artifiCiAl intelligence Model for Evaluating the surgical techniques of caRdiAc surgeons (CAMERA): a cohort study.

BMJ open Feb 6, 2026
INTRODUCTION: Coronary artery bypass grafting (CABG) is a technically demanding procedure where surgical skill directly influences outcomes. Traditional evaluation relies on expert subjective judgement, which is resource-intensive and lacks scalabili... read more 

Health trade-offs of rural structural transformation: evidence from longitudinal data in Bangladesh.

Journal of epidemiology and community health Feb 6, 2026
OBJECTIVES/BACKGROUND: This study examines the relationship between occupational transitions out of agriculture and functional health outcomes among rural adults in Bangladesh, with a focus on gender differences and variation by duration of exposure ... read more 

Counting cells can accurately predict small-molecule bioactivity benchmarks.

Nature communications Feb 6, 2026
Accurately predicting the activity of a chemical in each bioactivity assay based on its already known properties is extremely useful in drug development. Unfortunately, we discovered that many assays in widely used assay-activity benchmark datasets d... read more 

EgyPLI: A Real-life Annotated Image Dataset for Egyptian Plant Leaf Identification.

Scientific data Feb 6, 2026
The Egyptian Plant Leaf Image Dataset (EgyPLI) is the first comprehensive collection of plant leaf images curated in Egypt to support research in automated plant identification. It addresses the lack of locally representative datasets and the broader... read more 

Coherence transfer from optically induced THz magnons to charges.

Nature communications Feb 6, 2026
The digital economy, society and politics are increasingly shaped by cloud-based data. The advancement of transformative technologies, such as artificial intelligence, is placing unprecedented demands on data centres. This has driven an intense pursu... read more 

A Large-Scale Peripheral Blood Cell Dataset for Automated Hematological Analysis.

Scientific data Feb 6, 2026
White blood cell classification is fundamental to hematological diagnosis, yet existing datasets are limited in scale and class diversity. We present a comprehensive peripheral blood cell dataset comprising 31,489 high-resolution microscopic images a... read more 

StatLLM: A Dataset for Evaluating the Performance of Large Language Models in Statistical Analysis.

Scientific data Feb 6, 2026
The coding capabilities of large language models (LLMs) have opened up new opportunities for automatic statistical analysis in machine learning and data science. However, before their widespread adoption, it is crucial to assess the accuracy of code ... read more 
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