Artificial Intelligence Medical Compendium

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

Showing 631 to 640 of 159,571 articles

Colon cancer survival prediction from gland shapes within histology slides using deep learning.

Journal of integrative bioinformatics
This study investigates the application of deep learning techniques for segmenting glands in histopathological images of colorectal cancer. We trained two convolutional neural network models, U-Net and DCAN, on a combination of the GlaS and CRAG data...

Measurement and prediction of small molecule retention by Gram-negative bacteria based on a large-scale LC/MS screen.

Scientific reports
The challenge of assessing intracellular accumulation represents a major hurdle to the discovery of new antibiotics with Gram-negative activity. To address this, a high-throughput assay was developed to measure compound uptake and retention in Escher...

Dual stream graph augmented transformer model integrating BERT and GNNs for context aware fake news detection.

Scientific reports
The rapid proliferation of misinformation across digital platforms has highlighted the critical need for advanced fake news detection mechanisms. Traditional methods primarily rely on textual analysis, often neglecting the structural patterns of news...

Identification of a 10-species microbial signature of inflammatory bowel disease by machine learning and external validation.

Cell regeneration (London, England)
Genetic and microbial factors influence inflammatory bowel disease (IBD), prompting our study on non-invasive biomarkers for enhanced diagnostic precision. Using the XGBoost algorithm and variable analysis and the published metadata, we developed the...

Artificial Intelligence's Potential in Zoo Animal Welfare.

Zoo biology
The thorough, objective, and regular assessment of animal welfare in zoos and aquariums is rapidly becoming an essential task for these institutions. Traditional welfare assessment methods are, however, difficult to scale to the number of species and...

A radiomics-clinical predictive model for difficult laparoscopic cholecystectomy based on preoperative CT imaging: a retrospective single center study.

World journal of emergency surgery : WJES
BACKGROUND: Accurately identifying difficult laparoscopic cholecystectomy (DLC) preoperatively remains a clinical challenge. Previous studies utilizing clinical variables or morphological imaging markers have demonstrated suboptimal predictive perfor...

Using of aluminum (lignin /silica /fatty acids) hybrid filler in the fabrication of natural rubber conductive elastomers.

Scientific reports
Green flexible conductive composites (FCCs) with high flexibility and foldability have potential uses in wearables, artificial intelligence (AI), and other fields. This research explores the valorization of aluminum hybrid fillers (lignin, silica, an...

Construction of a Machine Learning-Based Clopidogrel Resistance Risk Prediction Model.

Cardiovascular toxicology
Clopidogrel is extensively utilized for the prevention and treatment of cardiovascular, cerebrovascular, and other arterial circulation disorders attributed to platelet hyperaggregation. Nevertheless, its antiplatelet efficacy displays substantial in...

Biomolecular Interaction Prediction in the Pre- and Post-AlphaFold Era: The 8th CAPRI Evaluation.

Proteins
We report on the 8th CAPRI Evaluation period, capturing the assessment of CAPRI Rounds 47 to 55 (excluding the CASP and COVID-related Rounds), which have witnessed the transition to AI-driven prediction tools such as AlphaFold and related alternative...

[Artificial intelligence under scrutiny: requirements, quality criteria, and testing tools for medical applications].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
The use of artificial intelligence (AI) in medicine has great potential to improve quality and efficiency. At the same time, its use is associated with risks. In order to prevent harm, experts from research and politics are developing requirements, t...