Artificial Intelligence Medical Compendium

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

Showing 18,101 to 18,110 of 214,278 articles

Quantification of 14 Major and Minor Cannabinoids with Absorbance-Transmittance Excitation-Emission Matrix Spectroscopy and Machine Learning.

Cannabis and cannabinoid research
BACKGROUND: Cannabis plants (Cannabis sativa) contain a diverse group of terpenophenolic compounds known as phytocannabinoids, with 131 cannabinoids identified to date. Rapid and low-cost analytical approaches capable of quantifying both major and mi... read more 

Stable maintenance of MERVL-positive embryonic stem cells reveals sustained transcriptional programs and enhancer remodeling.

The Journal of biological chemistry
Mouse embryonic stem cells (ESCs) occasionally transit into a rare two-cell-like (2C) state characterized by transient activation of endogenous retroviruses such as MERVL and expression of 2C-specific genes including the Zscan4 cluster. These 2C-like... read more 

The retinol metabolizing enzyme DHRS3 coordinates antigen presentation, endothelial stability, and cholesterol metabolism to suppress hepatocellular carcinoma progression.

The Journal of biological chemistry
Hepatocellular carcinoma (HCC) remains a therapeutic challenge due to tumor microenvironment heterogeneity and metabolic reprogramming. DHRS3, a retinol-metabolizing enzyme, exhibits paradoxical roles across cancers, but its specific function in HCC ... read more 

Cross-Platform Comparative Spatial Transcriptomics in High-Grade Serous Carcinoma.

Laboratory investigation; a journal of technical methods and pathology
PURPOSE: High-grade serous carcinoma (HGSC) is a remarkably heterogeneous tumor. The purpose of this study was to directly compare the reproducibility of transcriptomic profiles and biologically relevant molecular features across two spatial transcri... read more 

Accuracy and hallucination behaviors of artificial intelligence-based large language models for dental implant identification on radiographs.

Journal of dentistry
OBJECTIVES: This study aimed to evaluate the accuracy and error patterns of four artificial intelligence-based large language models (LLMs) in identifying dental implant characteristics including implant level, connection type, brand, and manufacture... read more 

In vitro evaluation of automated single-unit crown design using artificial intelligence: Design time, marginal misfit, dental morphology, and contact points.

Journal of dentistry
OBJECTIVE: To compare an artificial intelligence-based design workflow with a manual CAD workflow in terms of design time, vertical marginal misfit, dental morphology, and interproximal and occlusal contacts during single-unit crown planning. METHODS... read more 

Machine learning for predicting young's modulus of soft tissues from atomic force microscopy data.

Journal of structural biology
Atomic force microscopy (AFM) is an advanced tool applied to investigate the mechanical properties of a wide variety of material classes, including soft biological tissues. Force-indentation curves obtained through AFM can be analyzed using appropria... read more 

Single-cell and spatial analyses identify a glycolysis-high state driven by STOML2 in epithelial ovarian cancer.

Experimental cell research
OBJECTIVE: Metabolic heterogeneity contributes to therapeutic resistance and poor prognosis in epithelial ovarian cancer (EOC), yet the regulatory drivers of aggressive glycolytic states remain incompletely defined. We aimed to delineate glycolysis-a... read more 

Accelerated biological aging in bipolar disorder as determined by artificial intelligence-based electrocardiographic assessment.

Journal of affective disorders
BACKGROUND: Individuals with bipolar disorder (BD) are at increased risk for major adverse cardiovascular events. Recent evidence suggests that the difference between chronological and physiological age, as determined by artificial intelligence (AI)-... read more