Artificial Intelligence Medical Compendium

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

Showing 2,231 to 2,240 of 166,891 articles

Predicting Chemotherapy-Induced Peripheral Neuropathy Using Transformer-Based Multimodal Deep Learning.

Research (Washington, D.C.) Aug 5, 2025
Chemotherapy-induced peripheral neuropathy (CIPN) is a common and debilitating adverse effect of cancer treatment that substantially impairs patients' quality of life and may lead to dose reduction or treatment discontinuation. Traditional predictio... read more 

Machine learning-based predictive modeling of angina pectoris in an elderly community-dwelling population: Results from the PoCOsteo study.

PloS one Aug 5, 2025
BACKGROUND: Angina pectoris, a comparatively common complaint among older adults, is a critical warning sign of underlying coronary heart disease. We aimed to develop machine learning-based models using multiple algorithms to predict and identify the... read more 
Aged Aged, 80 and over Algorithms Female Support Vector Machine Independent Living Angina Pectoris Male Logistic Models Humans Machine Learning

Leveraging deep learning for the detection of socially desirable tendencies in personnel selection: A proof-of-concept.

PloS one Aug 5, 2025
We propose a deep learning-based method for detecting Socially Desirable Responding (SDR)-the tendency for individuals to distort questionnaire responses to present themselves in a favorable light. Our objective is to showcase that such novel methods... read more 
Young Adult Adult Humans Female Surveys and Questionnaires Personality Proof of Concept Study Male Deep Learning Personnel Selection

Strategic forecasting of renewable energy production for sustainable electricity supply: A machine learning approach considering environmental, economic, and oil factors in Türkiye.

PloS one Aug 5, 2025
Providing electricity needs from renewable energy sources is an important issue in the energy policies of countries. Especially changes in energy usage rates make it necessary to use renewable energy resources to be sustainable. The electricity usage... read more 
Electricity Environment Renewable Energy Algorithms Forecasting Machine Learning

Personalized colorectal cancer risk assessment through explainable AI and Gut microbiome profiling.

Gut microbes Aug 4, 2025
The clinical adenoma - carcinoma progression represents a well-established framework for understanding colorectal cancer (CRC) development, although the molecular mechanisms underlying this transition remain only partially understood. Increasing evid... read more 
Bacteria Gastrointestinal Microbiome Adenoma RNA, Ribosomal, 16S Middle Aged Risk Assessment Colorectal Neoplasms Male Humans Precision Medicine Female Aged Artificial Intelligence Machine Learning

Natural language processing for kidney ultrasound analysis: correlating imaging reports with chronic kidney disease diagnosis.

Renal failure Aug 4, 2025
INTRODUCTION: Natural language processing (NLP) has been used to analyze unstructured imaging report data, yet its application in identifying chronic kidney disease (CKD) features from kidney ultrasound reports remains unexplored. read more 
Natural Language Processing Logistic Models Renal Insufficiency, Chronic Male Middle Aged Ultrasonography Kidney Pilot Projects Aged Adult Humans Female

Integrative transcriptomic analysis reveals oligodendrocyte lineage switching in multiple sclerosis.

Life science alliance Aug 4, 2025
Multiple sclerosis (MS) is a chronic disease of the central nervous system. The occurrence of MS is a phased process while its cause is still unclear. Here, by combining white matter single-nucleus transcriptomic datasets from MS and control samples,... read more 
Oligodendroglia Cell Lineage Oligodendrocyte Precursor Cells Multiple Sclerosis White Matter Humans Middle Aged Gene Expression Profiling Microglia Cell Differentiation Transcriptome Animals Male Female Adult

Plant-Derived Bioactive Peptides: Extraction, Isolation, Purification, Pharmacological Activities, Structure-Activity Relationship, and Applications.

Journal of agricultural and food chemistry Aug 4, 2025
Plant-derived bioactive peptides (PDBPs) have become a key research focus owing to their multiple targets and high safety. However, current challenges in this field primarily include the low efficiency of traditional extraction techniques, the comple... read more 

Rapid, interpretable data-driven models of neural dynamics using recurrent mechanistic models.

Proceedings of the National Academy of Sciences of the United States of America Aug 4, 2025
Obtaining predictive models of a neural system is notoriously challenging. Detailed models suffer from excess model complexity and are difficult to fit efficiently. Simplified models must negotiate a tradeoff between tractability, predictive power, a... read more 
Neural Networks, Computer Models, Neurological Neurons Animals

Infrared spectroscopy-based zero-shot learning for identifying reaction intermediates in unseen systems.

Proceedings of the National Academy of Sciences of the United States of America Aug 4, 2025
Identifying reaction intermediates is a critical component of elucidating the mechanisms of chemical reactions. Spectroscopic techniques are instrumental in this identification process. The capacity of AI to establish the correlations between spectra... read more 
Popular Topics
Recent Journals