Artificial Intelligence Medical Compendium

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

Showing 67,461 to 67,470 of 232,702 articles

Synergistic impact of insulin resistance and hepatic fibrosis on cardiovascular events in patients with coronary artery disease: A machine learning subtyping and interaction analysis.

Nutrition, metabolism, and cardiovascular diseases : NMCD
BACKGROUND AND AIMS: Insulin resistance (IR) and hepatic fibrosis are significant yet underexplored synergistic risk factors for cardiovascular events in coronary artery disease (CAD). We investigated the interaction between the triglyceride-glucose ... read more 

Consensus machine learning identifies cell death gene signature for carotid artery stenosis diagnosis.

iScience
Carotid artery stenosis (CAS) is a major contributor to ischemic stroke, and molecular tools for its early detection remain limited. To address this need, we integrated one in-house RNA-seq cohort with eight public datasets comprising 696 samples, to... read more 

Creating Solutions to the Challenges in Managing Heparin Infusions: Exploring Use of Technology Including Artificial Intelligence and the Role of Anticoagulation Stewardship.

The Annals of pharmacotherapy
Adverse events and medication-related errors are common with anticoagulants. Heparin infusions are frequently associated with administration errors or challenges potentially leading to undesired events. Solving these challenges is multi-faceted given... read more 

Use of gadolinium-based contrast agents in head and neck cancer diagnosis, staging, and monitoring: current applications and future perspectives.

European radiology
Gadolinium-based contrast agents (GBCAs) have been fundamental to head and neck cancer (HNC) imaging, enabling effective detection, characterization, treatment response assessment, and disease progression monitoring of lesions. Additionally, perfusio... read more 

Advances in the application of artificial intelligence in mass spectrometry-based analysis of traditional Chinese medicine: compound identification and metabolic pathway elucidation.

Analytical and bioanalytical chemistry
Traditional Chinese medicine (TCM), characterized by its multi-component, multi-target, and multi-pathway nature, presents considerable challenges in the identification of chemical constituents and elucidation of metabolic mechanisms. TCM samples enc... read more 

Mind the Gap! What do people with epilepsy want to know?

Epilepsy & behavior : E&B
BACKGROUND: There is little research about the questions asked by people with epilepsy, and how these are answered. Information sources include standardised medical or charity websites, responses generated by artificial intelligence paradigms and inf... read more 

AI-generated patient education for ankylosing spondylitis: a comparative study of readability and quality.

Clinical rheumatology
OBJECTIVE: To evaluate and compare the quality and readability of patient education materials (PEM) related to ankylosing spondylitis (AS) generated by four AI-based large language models (LLMs): ChatGPT-4o, ChatGPT-3.5, DeepSeek R1, and DeepSeek V3.... read more 

Impact of AI recommendation correctness on diagnostic accuracy in clinical decision-making.

International journal of medical informatics
BACKGROUND: Clinical decision-making is shaped by healthcare provider-related factors such as experience, qualification and cognitive skills. AI-based Clinical Decision Support Systems (CDSS) promise to enhance diagnostic accuracy but may also introd... read more 

Generative artificial intelligence as a source of advice on resuscitation and first aid for laypeople: A scoping review.

International journal of medical informatics
INTRODUCTION: The performance of cutting-edge generative artificial intelligence (GenAI) in guiding laypeople on how to give help in health emergencies is attracting growing attention. This study aimed to map and summarise original research evidence ... read more