Artificial Intelligence Medical Compendium

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

Showing 46,071 to 46,080 of 224,055 articles

Integrating DNA barcoding and machine learning for species identification: Comparative genomics and codon usage bias of chloroplasts in Gentiana sect. Cruciata.

Journal of plant physiology
This study integrates chloroplast genome comparison, codon usage analysis, machine learning, and DNA barcoding to elucidate the phylogeny, genetic diversity, and species identification of Gentiana Sect. Cruciata. Perform chloroplast genome analysis u... read more 

Microfluidic production of silk fibroin nanoparticles: Process optimization and modeling.

International journal of pharmaceutics
Silk fibroin is an attractive material for drug delivery due to its biocompatibility, stability, and ability to form nanoparticles through solvent-induced self-assembly. Although microfluidic nanoprecipitation offers superior control and reproducibil... read more 

Regulatory roles of microRNAs in epigenetic and immune gene networks in psoriasis.

Gene
Psoriasis is a chronic, immune-mediated skin disorder characterized by keratinocyte hyperproliferation, impaired differentiation, and sustained inflammation driven by complex interactions between the immune system and the epidermis. Emerging evidence... read more 

Human and artificial intelligence performance in radiographic caries detection: ex vivo tooth section-referenced evaluation and implications for clinical decision-making.

Journal of dentistry
OBJECTIVES: To evaluate the caries detection performance of a commercially available AI-system (Nostic) and human raters for radiographic caries detection using tooth sections as reference. METHODS: Radiographs and corresponding tooth sections from e... read more 

In silico neuronal morphology classification: A systematic review.

Neuroscience
Advances in connectomics and the characterization of neuronal diversity have been fundamental to understanding how the brain works. Defining a taxonomy is still challenging and requires complex computational methods. In this paper, we present a syste... read more 

Artificial Intelligence in Surgical Feedback: A Systematic Scoping Review.

Journal of surgical education
OBJECTIVE: Artificial intelligence (AI) is poised to transform surgical education, particularly in providing objective, scalable feedback. This study aims to systematically evaluate the current landscape of AI applications in delivering procedural fe... read more 

Four decades of Landsat data reveal the evolution of nitrogen and phosphorus components driven by human activities in the northern South China Sea.

Journal of environmental management
The Northern South China Sea (NSCS) supports the livelihoods of hundreds of millions of people as one of the most important sea areas in China. However, research on the long-term evolution of nitrogen (N) and phosphorus (P) components in the surface ... read more 

A Deep Learning Model for Second-Molar Lesions Related to Impacted Third Molars.

International dental journal
OBJECTIVES: This study aimed to develop an automated deep learning (DL) system to detect and classify second molar (M2) pathologies associated with impacted third molars (ITMs) on panoramic radiographs. We sought to enhance diagnostic accuracy and su... read more 

Metabolic liver imaging: What you need to know.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Metabolic liver diseases represent a growing global health concern with significant diagnostic and prognostic implications. Imaging offers non-invasive alternatives to biopsy for diagnosis, staging, and follow-up. This review summarizes current imagi... read more 

Prediction and risk factor analysis of dental implant failure using Cox regression and machine learning.

Journal of periodontology
BACKGROUND: Survival analysis is commonly used to identify factors affecting dental implant longevity. While conventional studies typically employ the Cox proportional hazards model, the potential benefits of modern machine-learning algorithms remain... read more