Artificial Intelligence Medical Compendium

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

Showing 5,111 to 5,120 of 204,028 articles

A Nonlinear Multi-Objective Prediction Strategy for Small-Sample Datasets in Homogeneous Catalysis.

Journal of computational chemistry
The development of homogeneous catalytic reactions is hindered by the resource-intensive nature of traditional experimental and computational methods, particularly when dealing with small, sparse datasets and complex multi-objective optimization. Whi... read more 

Innovative teaching in legal medicine through forensic simulation: a case-based educational project.

International journal of legal medicine
In Italy, forensic medicine education is traditionally theory-based, which limits students' access to practical experiences due to confidentiality constraints and the complexity of real cases. This paper describes a forensic simulation conducted at t... read more 

Proteomic profiling of bone for the estimation of post-mortem interval and post-mortem submersion interval: a systematic review.

International journal of legal medicine
Accurate estimation of the Post-Mortem Interval (PMI) and Post-Mortem Submersion Interval (PMSI) remains a persistent challenge in forensic science, especially when traditional morphological and entomological methods fail due to advanced decompositio... 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 

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 

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 

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 

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 

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 

Unified comparison of machine learning paradigms for blood transfusion prediction in pediatric congenital heart surgery.

iScience
Blood transfusion prediction studies in pediatric cardiac surgery have employed direct regression, two-stage, and multi-class classification paradigms, but the fundamentally different outputs of these paradigms have prevented direct head-to-head comp... read more