Artificial Intelligence Medical Compendium

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

Showing 2,031 to 2,040 of 213,633 articles

Revisiting biofilm quantification: crystal violet assay and the emerging role of hyperspectral imaging.

Analytical methods : advancing methods and applications
Bacterial biofilms are major contributors to persistent and chronic infections. Conventional methods used to quantify biofilms, such as the crystal violet assay, provide only semi-quantitative and non-specific estimates of their biomass. In this stud... read more 

Next-generation precision oncology in microsatellite stable colorectal cancer: integrated targeting beyond RAS and RAF.

ESMO open
The therapeutic landscape of colorectal cancer (CRC) has evolved with the identification of molecular subtypes, including mismatch repair-deficient/microsatellite instability-high, POLE mutations, RAS/BRAF alterations, and HER2 amplification, enablin... read more 

Identifying sex-specific sub-phenotypes of Alzheimer's disease progression using longitudinal electronic health records.

EBioMedicine
BACKGROUND: Alzheimer's Disease (AD) is a complex neurodegenerative disorder, with women comprising nearly two-thirds of individuals with AD. However, sex-specific heterogeneity in AD progression remains insufficiently understood. A data-driven appro... read more 

Guideline-anchored retrieval-augmented generation outperforms baseline and literature-only configurations in gynecologic oncology decision support: A pre-integration benchmark.

Gynecologic oncology
INTRODUCTION: Large language models (LLMs) are being studied as oncology decision-support tools but can produce inaccurate outputs. We compared LLM performance in gynecologic oncology across three knowledge-integration configurations differing in ret... read more 

The Triglyceride Glucose-a Body Shape Index: A Novel Composite Index for Prediction of Periodontitis Risk.

International dental journal
INTRODUCTION AND AIM: Insulin resistance and obesity are significant metabolic risk factors for periodontitis. This study aimed to systematically investigate the association between the novel metabolic obesity composite index, triglyceride glucose-a ... read more 

Leveraging protein language model for maturation of high-affinity peptide ligand in the purification of an adeno‒associated virus vector.

Journal of chromatography. A
Computational design has emerged as an important approach for the discovery of peptide ligands in development of affinity chromatography. However, fast and efficient identification of high-affinity and specific ligands is still challenging. Here an a... read more 

Comparative assessment of artificial neural network and response surface methodology for modeling and optimizing phosphate adsorption onto rice straw biochar.

Journal of environmental management
This study investigated the potential application of rice straw biochar (RSB) as an adsorbent for the elimination of phosphate species from wastewater. Artificial neural network (ANN) and response surface methodology (RSM) approaches were used to opt... read more 

Interpretable machine learning prediction and multi-objective optimization of chiral lactic acid production from organic waste fermentation.

Journal of environmental management
Accurate prediction and control of chiral lactic acid (LA) production from complex waste streams remain challenging due to nonlinear metabolic interactions and process variability. Unlike previous machine learning (ML) studies that focused solely on ... read more 

Parental burnout and children's short-form video and online game use: A specification curve and interpretable deep learning analysis.

Acta psychologica
Parental burnout has many negative effects on both parents and their children; however, research on the relation between parental burnout and children's digital media use remains limited. This study aims to examine the robustness of the relation betw... read more 

A study on the influencing factors of perceived artificial intelligence substitution risk.

Acta psychologica
Artificial intelligence technologies are rapidly penetrating and reshaping the labor market. As a result, perceived AI substitution risk among workers has become an important issue affecting employment stability and social well-being. Using data from... read more