Artificial Intelligence Medical Compendium

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

Showing 951 to 960 of 160,729 articles

The influence of Gen-AI tools application for text data augmentation: case of Lithuanian educational context data classification.

Scientific reports Jul 17, 2025
Today, Gen-AI tools are used for various purposes, ranging from everyday tasks, such as summarizing texts, to high-level solutions tailored to a company's needs. Trustable and high-quality datasets are the most important component in building the mod... read more 

Integrating multi-omics and machine learning strategies to explore the "gene-protein-metabolite" network in ischemic heart failure with Qi deficiency and blood stasis syndrome.

Chinese medicine Jul 17, 2025
BACKGROUND: Ischemic heart failure (IHF) is a multifaceted syndrome associated with significant mortality and high hospitalization rates globally. According to traditional Chinese medicine (TCM) theory, Qi Deficiency and Blood Stasis (QXXY) Syndrome ... read more 

Identification of CTSK as a TLR-related critical biomarker in liver cirrhosis via integrative bioinformatics and pathological characterization.

Scientific reports Jul 17, 2025
Liver cirrhosis (LC) is a common chronic disease worldwide with a poor prognosis, and its pathogenesis has not been fully elucidated. Toll-like receptors (TLRs) are crucial in LC progression. Here, we identified TLR-related genes, providing novel ins... read more 
Molecular Docking Simulation Gene Expression Profiling Humans Computational Biology Biomarkers Liver Cirrhosis Signal Transduction Gene Expression Regulation Gene Regulatory Networks Toll-Like Receptors

Machine learning analysis of drug solubility via green approach to enhance drug solubility for poor soluble medications in continuous manufacturing.

Scientific reports Jul 17, 2025
The development of continuous pharmaceutical manufacturing is crucial and can be analyzed via advanced computational models. Machine learning is a strong computational paradigm that can be integrated into a continuous process to enhance the drugs' so... read more 
Solubility Green Chemistry Technology Neural Networks, Computer Computer Simulation Machine Learning Pharmaceutical Preparations

Explainable machine learning-driven models for predicting Parkinson's disease and its prognosis: obesity patterns associations and models development using NHANES 1999-2018 data.

Lipids in health and disease Jul 17, 2025
BACKGROUND: Parkinson's disease (PD) is a prevalent neurodegenerative condition, the effect of obesity on PD remains controversial. We aimed to investigate the associations of obesity patterns on PD and all-cause mortality, while developing machine l... read more 
Prognosis Female Risk Factors Humans Machine Learning Middle Aged ROC Curve Nutrition Surveys Adult Male Aged Kaplan-Meier Estimate Parkinson Disease Waist Circumference Proportional Hazards Models Body Mass Index Obesity

The application of super-resolution ultrasound radiomics models in predicting the failure of conservative treatment for ectopic pregnancy.

Reproductive biology and endocrinology : RB&E Jul 17, 2025
BACKGROUND: Conservative treatment remains a viable option for selected patients with ectopic pregnancy (EP), but failure may lead to rupture and serious complications. Currently, serum β-hCG is the main predictor for treatment outcomes, yet its accu... read more 
Humans Conservative Treatment Pregnancy Female Pregnancy, Ectopic Ultrasonography, Prenatal Retrospective Studies Adult Treatment Failure Chorionic Gonadotropin, beta Subunit, Human Ultrasonography Radiomics Predictive Value of Tests

Research on lung cancer diagnosis based on machine learning.

Technology and health care : official journal of the European Society for Engineering and Medicine Jul 17, 2025
BackgroundIn clinical diagnosis, determining the level of malignancy in tumors and differentiating between benign and malignant tumors are common classification challenges. Accurate and early diagnosis is essential for targeted treatment, and machine... read more 

Development of a machine learning-derived model to predict unplanned ICU admissions after major non-cardiac surgery.

BMC anesthesiology Jul 17, 2025
BACKGROUND: Unplanned postoperative intensive care unit admissions (UIAs) are rare events that cause significant challenges to perioperative workflow. We describe the development of a machine-learning derived model to predict UIAs using only widely u... read more 
Male Middle Aged Decision Trees Patient Admission Female Postoperative Complications Humans Aged Machine Learning Adult Retrospective Studies Intensive Care Units

Microbiome-based prediction of allogeneic hematopoietic stem cell transplantation outcome.

Genome medicine Jul 17, 2025
BACKGROUND: Allogeneic hematopoietic stem cell transplantation (HSCT) is potentially curative for hematologic malignancies but is frequently complicated by relapse and immune-mediated complications, such as graft-versus-host disease (GVHD). Emerging ... read more 
Transplantation, Homologous Microbiota Graft vs Host Disease Hematopoietic Stem Cell Transplantation Gastrointestinal Microbiome Aged Saliva Adolescent Young Adult Humans Feces Adult Treatment Outcome Female Male Middle Aged

Toward automatic and reliable evaluation of human gastric motility using magnetically controlled capsule endoscope and deep learning.

Scientific reports Jul 17, 2025
In this paper, we develop a combination of algorithms, including camera motion detector (CMD), deep learning models, class activation mapping (CAM), and periodical feature detector for the purpose of evaluating human gastric motility by detecting the... read more 
Humans Stomach Capsule Endoscopes Algorithms Gastrointestinal Motility Capsule Endoscopy Deep Learning Peristalsis Magnetics
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