Artificial Intelligence Medical Compendium

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

Showing 7,831 to 7,840 of 207,466 articles

Machine Learning-Enhanced SERS Sensor Using Microgroove Structures for Enriching and Confining Nanoplastics in Localized 3D Hotspots.

Analytical chemistry
Trace detection of nanoplastics (NPs) is limited by random analyte deposition and poor contact with hotspots. A major hurdle for on-site monitoring is the precise localization of enriched analytes. To address these challenges, we developed a 3D Ag/In... read more 

Multimodal machine learning for early risk stratification of post-stroke cognitive impairment.

Journal of Alzheimer's disease : JAD
BackgroundPost-stroke cognitive impairment (PSCI) is a major vascular contributor to dementia, significantly impacting long-term recovery and quality of life. Developing accurate prediction models are essential for early identification and timely int... read more 

A century of coffee and tea research in cognitive health and Alzheimer's disease: Structural, thematic, and translational insights (1911-2025).

Journal of Alzheimer's disease : JAD
BackgroundAlthough studies have explored tea and coffee in relation to Alzheimer's disease, no century-scale analysis has jointly examined both within a unified primary-evidence framework.ObjectiveThis study maps the structural, thematic, and tempora... read more 

Prevalence and Predictors of Non-Exclusive Breastfeeding at Hospital Discharge in Uruguay.

Journal of human lactation : official journal of International Lactation Consultant Association
BACKGROUND: The prescription of infant formula during postpartum hospitalization is one of several factors that influence breastfeeding. RESEARCH AIMS: To analyze the prevalence of non-exclusive breastfeeding at hospital discharge in Uruguay, a Latin... read more 

Predicting facility delivery and its determinants among reproductive-age women in Ethiopia using machine learning algorithm: evidence from performance monitoring for action Ethiopia 2019 dataset.

BMC pregnancy and childbirth
BACKGROUND: Facility delivery attended by skilled health professionals is a critical strategy for reducing maternal and neonatal mortality. Despite substantial efforts to expand maternal health services in Ethiopia, a large proportion of births still... read more 

Exosomes in bone health and disease: cellular crosstalk, systemic signaling, and AI-driven advances in regenerative therapy.

Stem cell research & therapy
Exosomes have emerged as critical mediators of intercellular and inter-organ communication in bone biology. Secreted by bone-resident cells such as osteoblasts, osteoclasts, osteocytes, and mesenchymal stem cells (MSCs), these nanosized vesicles carr... read more 

Large language models in implant dentistry: a scoping review of applications, performance, and limitations.

BMC oral health
BACKGROUND: This scoping review evaluates the current state of generative artificial intelligence (AI) in implant dentistry, focusing on the performance, clinical applications, and inherent limitations of large language models (LLMs) in both clinical... read more 

PRIME: An evaluation framework for protein representation inference and generalization in viral mutation space.

BMC genomics
BACKGROUND: Protein language models (PLMs) have revolutionized protein fitness prediction, yet their application to rapidly evolving viral pathogens is often confounded by extreme sequence homology. This homology leads to "data leakage" in standard r... read more 

Gut microbial alterations and functional shifts in patients with hypertriglyceridemia: insights from a northwestern Chinese metagenomic study.

International microbiology : the official journal of the Spanish Society for Microbiology
Although hypertriglyceridemia (HTG) is a significant contributor to lipid-associated pathologies such as atherosclerotic cardiovascular disease, its regulation by host‒microbiome interactions remain insufficiently characterized. While the gut microbi... read more 

Relationship between ileocolic arterial stump length and lymph node yield - a retrospective study using machine learning.

Langenbeck's archives of surgery
PURPOSE: In right-sided colon cancer surgery, ileocolic artery stump length may reflect the extent of mesenteric resection and lymph node harvest. This study evaluated the association between postoperative stump length measured on CT, lymph node yiel... read more