Artificial Intelligence Medical Compendium

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

Showing 39,711 to 39,720 of 223,737 articles

In silico discovery of selective TPX2 and BUB1B inhibitors as novel antimitotic agents in breast cancer therapy.

Computational biology and chemistry
Breast cancer (BC) is one of the most common malignancies in women globally, characterized by significant genetic and clinical heterogeneity. This complexity emphasises the need for reliable biomarkers and novel therapeutic strategies to improve pati... read more 

A hierarchical and privacy-preserving intrusion detection framework for SAGIN-enabled IIot using graph neural networks and deep Q-learning.

Neural networks : the official journal of the International Neural Network Society
Space-Air-Ground Integrated Networks (SAGIN) supporting Industrial Internet of Things (IIoT) applications impose stringent requirements on intrusion detection due to node mobility, heterogeneous link characteristics, constrained edge resources, and c... read more 

Comparison of vacuum ultraviolet-based oxidation as ultrafiltration pretreatment in real water: Performance, risk assessment, and mechanistic insights.

Water research
Natural organic matter (NOM), a ubiquitous foulant in aquatic environments, is commonly regarded as a predominant driver of ultrafiltration (UF) membrane fouling. Here, a comparative study was innovatively conducted on vacuum ultraviolet (VUV), VUV/h... read more 

Sex Differences in the Associations Between Visceral Adiposity and Hepatic Insulin Clearance in Type 2 Diabetes Mellitus: A Quantitative CT Study.

Diabetes research and clinical practice
AIMS: To investigate sex-related differences in the association of body fat distribution with hepatic insulin clearance (HIC) in type 2 diabetes mellitus (T2DM), determining whether HIC associates more strongly with static hepatic steatosis or viscer... read more 

Development and validation of a risk prediction model for diabetic peripheral neuropathic pain in type 2 diabetes: A machine learning and statistical approach.

Diabetes research and clinical practice
OBJECTIVE: To identify independent risk factors for diabetic peripheral neuropathic pain (DPNP), construct a nomogram prediction model, and quantify the contribution of predictive factors using SHapley Additive exPlanations (SHAP) values. METHODS: Th... read more 

The inflammation-microvascular axis in prognosis: Integrated FAI and AMR assessment for risk stratification after PCI in NSTEMI patients.

International journal of cardiology
BACKGROUND: Despite successful percutaneous coronary intervention (PCI), patients with non-ST-segment elevation myocardial infarction (NSTEMI) remain at risk of major adverse cardiovascular events (MACE). The combined prognostic value of pericoronary... read more 

Heat and hearts: An exposure-anchored computational phenotyping framework for assessing cardiovascular vulnerability during extreme heat.

Journal of biomedical informatics
OBJECTIVE: Extreme heat is associated with increased cardiovascular vulnerability. We developed and validated a heat exposure-anchored cardiovascular vulnerability (HECV) computational phenotype for outpatient visits using longitudinal EHR data linke... read more 

Design quality and time efficiency of AI-based versus human-based design for tooth- and implant-supported fixed dental restorations: A systematic review.

Journal of dentistry
OBJECTIVES: The purpose of this systematic review was to evaluate the design quality and time efficiency of fixed dental restorations generated by fully automated artificial intelligence (AI)-based systems compared with human-designed restorations. D... read more 

Communication, compassion, and shared decision-making in allergy.

Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology
Shared decision-making (SDM) is a structured approach to clinical care that integrates the best available evidence, clinician expertise, and patient values. Although SDM frameworks are well described, comparatively little attention has been paid to t... read more 

Recent advances in sex-specific reproductive microphysiological systems for the systematic evaluation of assisted reproductive technology.

Materials today. Bio
The rising global burden of infertility continues to increase clinical reliance on assisted reproductive technology (ART), yet overall outcomes remain constrained by limited physiological fidelity of conventional two-dimensional (2D) culture and anim... read more