Artificial Intelligence Medical Compendium

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

Showing 5,211 to 5,220 of 174,202 articles

Real-time prediction of HFNC treatment failure in acute hypoxemic respiratory failure using machine learning.

Scientific reports
Accurate and timely prediction of high-flow nasal cannula (HFNC) treatment failure in patients with acute hypoxemic respiratory failure (AHRF) can lower patient mortality. Previous studies have highlighted inconsistencies in the predictive performanc... read more 

Large-scale evaluation of soybean germplasm reveals geographic patterns in shade tolerance and identifies elite genotypes for intercropping systems.

BMC plant biology
Shade tolerance is crucial for developing soybean varieties that are well-suited for intercropping systems. This study evaluated 460 soybean accessions from a global germplasm collection at two contrasting locations in China: Heilongjiang (HLJ) and I... read more 

Using artificial intelligence to model expert panel diagnosis of cholecystitis severity.

Surgical endoscopy
BACKGROUND: Determining cholecystitis severity via the clinically validated Parkland Grading Scale (PGS) is useful for predicting case difficulty and likelihood of postoperative complications. A panel assessment by multiple surgeons can reduce variat... read more 

Cycle-configuration descriptors: a novel graph-theoretic approach to enhancing molecular inference.

Journal of cheminformatics
Inference of molecules with desired activities/properties is one of the key and challenging issues in cheminformatics and bioinformatics. For that purpose, our research group has recently developed a state-of-the-art framework mol-infer for molecular... read more 

Advances in artificial intelligence and precision nutrition approaches to improve maternal and child health in low resource settings.

Nature communications
Malnutrition continues to be a major threat to health, particularly maternal and child health in low resource settings, resulting in impairments in cognitive function, growth, and development, and metabolic diseases later in life. Nutritional assessm... read more 

AI-driven prediction of insulin resistance in non-diabetic populations using minimal invasive tests: comparing models and criteria.

Diabetology & metabolic syndrome
BACKGROUND: Insulin resistance is a key precursor to diabetes and increases the risk of cardiovascular diseases. Traditional assessment methods rely on multiple invasive tests. Developing an AI model based on minimally invasive tests, especially usin... read more 

ReviewGenie: a novel automated system for systematic reviews-an exploratory study in speech and language disorders.

Systematic reviews
BACKGROUND: Systematic reviews (SRs) are a cornerstone in providing high-quality evidence that guides policy and practice across various disciplines. Despite their critical role, SRs require substantial financial investment and are constrained by tim... read more 

Artificial intelligence-assisted optimization of Eichhornia crassipes extracts and evaluation of their biological activities.

Scientific reports
In this research, the extraction conditions for Eichhornia crassipes (Mart.) Solms were optimized using Response Surface Methodology (RSM) and Artificial Neural Network-Genetic Algorithm (ANN-GA) techniques to enhance the biological efficacy of the e... read more 

ReactorNet based on machine learning framework to identify control rod position for real time monitoring in PWRs.

Scientific reports
This paper presents a novel approach, ReactorNet, a machine learning framework leveraging thermal neutron flux imaging to enable real-time monitoring of pressurized water reactors (PWRs). By integrating EfficientNetB0 with a hybrid classification-reg... read more