Artificial Intelligence Medical Compendium

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

Showing 81 to 90 of 212,565 articles

Radiological Clearance at CERN: Classical Machine Learning Methods for Waste Classification.

Journal of radiological protection : official journal of the Society for Radiological Protection
At CERN, the maintenance and dismantling of high-energy particle accelerators generate waste that is potentially radioactive. When activity levels are negligible, waste can be released from regulatory control through clearance procedures. However, ra... read more 

Machine Learning Prediction of Liver Fibrosis in Patients with Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD).

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
BACKGROUND: Accurate staging of liver fibrosis is crucial for risk stratification in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). We aimed to develop and validate AI-based models capable of distinguishing fibrosis s... read more 

Bisphenol A drives the comorbidity of non-alcoholic fatty liver disease and osteoarthritis by targeting RHOB: Integrated multi-omics, single-cell analysis, and experimental validation.

Experimental gerontology
BACKGROUND: This study focuses on exploring the co-morbid mechanisms by which Bisphenol A (BPA) induces non-alcoholic fatty liver disease (NAFLD) and osteoarthritis (OA). METHOD: This study identified potential BPA targets utilizing the SwissTargetPr... read more 

Deep cross-modal representation fusion learning for enhanced drug target affinity prediction.

Analytical biochemistry
Prediction of Drug Target Affinity (DTA) is essential for accelerating computational drug discovery and reducing experimental costs. However, traditional experimental approaches for DTA estimation are resource-intensive and are further challenged by ... read more 

Who is at high risk of poor diet quality? A precision public health nutrition approach using machine learning.

The Journal of nutrition
BACKGROUND: Suboptimal diet quality contributes to poor health. Numerous factors at all levels of the socioecological model intersect to influence individuals' diet quality. A precision public health nutrition framework can be used to understand how ... read more 

Precision forensic toxicology: Leveraging Toxicogenomics, multi-omics, and artificial intelligence for next-generation poisoning investigations.

Clinica chimica acta; international journal of clinical chemistry
For much of its history, forensic toxicology was built on a core analytical question: what poison or drug is present, and at what concentration? That question still matters, but modern casework increasingly shows that it is no longer sufficient on it... read more 

Cardiopulmonary point-of-care ultrasound for critical care.

Clinical medicine (London, England)
Point-of-care ultrasound (POCUS) has emerged as an essential bedside tool for the rapid assessment and management of critically ill patients. This review outlines the evolution of POCUS from a focused, rule-in/rule-out modality to an advanced, integr... read more 

Three-Level cascading defense mechanism of silicon-based materials for mitigating heavy metals stress in crops.

Bioresource technology
Silicon-based materials (SBMs) are widely used to alleviate heavy metals (HMs) stress in crops, yet their integrated effects on soil-plants systems remain insufficiently understood owing to the complex interactions among soil properties, amendment ch... read more 

A novel fever prevalence indicator for early warning of acute respiratory infections using wastewater-based epidemiology and machine learning.

Environmental research
The rapid spread of acute respiratory infections (ARIs) poses a major challenge to global public health, yet current surveillance systems relying on sentinel hospitals and laboratory testing often lack timeliness and precision. In this study, we pres... read more 

Temporal Germination of Lettuce under Salinity and Nano-Silicon: A High-Throughput Phenomics Framework with Deep Learning.

Plant science : an international journal of experimental plant biology
Accurate high-throughput evaluation of seed germination under abiotic stress is often hindered by subjective manual scoring and insufficient temporal resolution. This study introduces an integrated phenomics framework leveraging an explainable deep l... read more