Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 65,651 to 65,660 of 232,257 articles
Latest research
DH-MSVM: A hybrid algorithm for seeking quality support vectors in distributed learning.
Neural networks : the official journal of the International Neural Network Society
Jan 10, 2026
Data heterogeneity is a common yet complex challenge in distributed machine learning scenarios. However, current Distributed Support Vector Machines (DSVMs) lack effective mechanisms to identify suitable support vectors across diverse data structures... read more
Implicit neural network-based coal SEM super-resolution for enhancing micro-pores measurement tasks.
Neural networks : the official journal of the International Neural Network Society
Jan 10, 2026
Prolonged radiation exposure in coal Scanning Electron Microscopy (SEM) poses structural damage risks to specimens during high-resolution observation. To mitigate this situation, we propose an interactive-interpretable super-resolution (SR) framework... read more
Design of an AI-assisted autonomous orchard sprayer with dual spraying mechanisms.
Pest management science
Jan 10, 2026
BACKGROUND: This study presents the design, development, and field evaluation of Vabot, an artificial intelligence (AI)-powered, fully electric autonomous agricultural ground vehicle intended for accurate pesticide application in orchard settings. Th... read more
Performance of Seven Large Language Models on Anatomy Examination Questions.
Clinical anatomy (New York, N.Y.)
Jan 10, 2026
Artificial intelligence is among the most rapidly developing branches of technology. It has proven to be a helpful tool in various fields, including medicine. Significant advances in the development of new language models prompt an evaluation of thei... read more
AI assisted, mentor-guided narrative review writing task for medical students, a novel educational strategy to enhance research and academic writing.
Medical teacher
Jan 10, 2026
INTRODUCTION: The integration of artificial intelligence (AI) tools into medical education presents new opportunities for enhancing students' research skills and scientific writing. However, concerns remain about the potential for cognitive disengage... read more
When and how to disclose AI use in academic peer review.
Medical teacher
Jan 10, 2026
Using Artificial Intelligence (AI) to review academic papers is happening and cannot be ignored by journals. There is a need to find a balance between outright banning and uncontrolled usage. Medical Teacher recognises this need, and this commentary ... read more
Machine Learning-Based Prediction Model for Delayed Chemotherapy-Induced Nausea and Vomiting in Pediatric Cancer: A Prospective Cohort Study.
Pediatric blood & cancer
Jan 10, 2026
BACKGROUND: Delayed chemotherapy-induced nausea and vomiting (CINV) in pediatric oncology patients is currently under-recognized. This study aims to develop, validate, and visualize a machine learning-based model to predict delayed CINV risk in child... read more
Realizing Cocktail Effects in Catalytic High-Entropy Metal-Organic Frameworks (HEMOFs) via Predictive Density of State Calculations.
Angewandte Chemie (International ed. in English)
Jan 10, 2026
High-entropy materials, particularly high-entropy metal-organic frameworks (HEMOFs), represent a promising class of catalysts amenable to imparting superior activity via harnessing cocktail effects. However, optimal leveraging of these effects remain... read more
A Novel Acetylcholine Nanosensor for Single Vesicle Storage and Sub-Quantal Exocytosis in Living Neurons and Organoids.
Angewandte Chemie (International ed. in English)
Jan 10, 2026
Acetylcholine (ACh) is a critical neurotransmitter that regulates diverse physiological functions, such as cognition and muscle contraction, through synaptic transmission. However, in situ quantitative chemical analysis of single-vesicle storage and ... read more
Curated and Structure-Based Drug-Target Interactions Improve Underprediction of Drug Side Effects in Network Models.
Journal of chemical information and modeling
Jan 10, 2026
The accurate prediction of drug-induced side effects remains a significant challenge in pharmaceutical development, particularly in early development, as drug programs often fail due to unforeseen adverse reactions. Conventional approaches, such as p... read more
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- Machine Learning 32655
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Recent Journals
- Scientific reports 9611
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- Neural networks : the official journal of the International Neural Network Society 3053
- Computers in biology and medicine 2084
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- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1395
- Nature communications 1331
- IEEE journal of biomedical and health informatics 1311
- Journal of chemical information and modeling 1280
- Journal of medical Internet research 1009
- IEEE transactions on neural networks and learning systems 927
- Bioinformatics (Oxford, England) 911
- Computer methods and programs in biomedicine 896