Artificial Intelligence Medical Compendium

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

Showing 3,821 to 3,830 of 170,066 articles

The use of knowledge graphs for drug repurposing: From classical machine learning algorithms to graph neural networks.

Computers in biology and medicine
Drug repurposing, the development of new therapeutic indications for existing drugs, is a promising strategy in drug development. Computational methods and artificial intelligence may be used to identify new drug repurposing candidates. Knowledge gra... read more 

Learning spatio-temporal context for basketball action pose estimation with a multi-stream network.

Scientific reports
Accurate athlete pose estimation in basketball is crucial for game analysis, player training, and tactical decision-making. However, existing pose estimation methods struggle to effectively address common challenges in basketball, such as motion blur... read more 

Evaluation of antiarrhythmia drug through QSPR modeling and multi criteria decision analysis.

Scientific reports
This study explores how topological indices (TIs), which are mathematical descriptors of a drug's molecular structure, can support to predict vital properties and biological activities. This understanding is a key for more effective drug design. We f... read more 

Design, analysis and experiment of a novel repeatable buffer landing mechanism.

Scientific reports
The traditional lunar landing buffering structure uses multi-stage aluminum honeycomb materials to absorb impact energy. However, due to irreversible deformation and abrupt acceleration changes during the buffering process, it fails to meet reusabili... read more 

Prediction of Early Recurrence After Bronchial Arterial Chemoembolization in Non-small Cell Lung Cancer Patients Using Dual-energy CT: An Interpretable Model Based on SHAP Methodology.

Academic radiology
RATIONALE AND OBJECTIVES: Bronchial artery chemoembolization (BACE) is a new treatment method for lung cancer. This study aimed to investigate the ability of dual-energy computed tomography (DECT) to predict early recurrence (ER) after BACE among pat... read more 

A new framework for evaluating land suitability for Goji (Lycium barbarum L.) cultivation across China.

Journal of environmental management
As a valuable Chinese medicinal herb and functional food, Goji (Lycium barbarum L.) berries have been consumed for more than 4500 years in China and have received extensive international attention. However, stakeholders have adopted traditional manag... read more 

Development and validation of neonatal jaundice detection using smartphone application.

Computers in biology and medicine
BACKGROUND: Neonatal jaundice is highly prevalent in newborns globally, requiring vigilant monitoring to prevent severe complications such as brain damage. Current detection methods, including invasive blood tests and expensive bilirubinometers, have... read more 

Prediction of Benign and Malignant Small Renal Masses Using CT-Derived Extracellular Volume Fraction: An Interpretable Machine Learning Model.

Academic radiology
RATIONALE AND OBJECTIVES: We developed a machine learning model comprising morphological characteristics, enhancement dynamics, and extracellular volume (ECV) fractions for distinguishing malignant and benign small renal masses (SRMs), supporting per... read more 

Investigating mitophagy mechanisms in bronchopulmonary dysplasia through bioinformatics.

Pediatric research
BACKGROUND: Bronchopulmonary dysplasia (BPD) is a prevalent respiratory disease in premature infants and is accompanied by impaired lung function, increased infection risk, and other long-term complications. This study aimed to elucidate the molecula... read more 

Evaluation of color matching accuracy using artificial intelligence applications and a spectrophotometer: A photometric analysis.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: The use of artificial intelligence (AI) applications in dentistry is increasingly widespread. However, studies evaluating their success in tooth color matching are limited. read more