Artificial Intelligence Medical Compendium

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

Showing 371 to 380 of 234,501 articles

Influence of virtual dynamic contrast enhanced breast MRI on lesion size, BI-RADS scores and reader confidence.

European radiology
BACKGROUND: Breast MRI routinely uses gadolinium-based contrast agents (GBCAs) for dynamic contrast-enhanced (DCE) imaging. However, GBCA administration entails periprocedural effort and environmental impact, prompting exploration of contrast-agent-f... read more 

Pediatric chronological age estimation from pelvic radiographs using deep learning: a multicenter retrospective study.

European radiology
OBJECTIVES: Pelvic bones exhibit multiple secondary ossification centers during maturation, enabling automated age estimation. This study investigated whether a deep learning model could estimate chronological age from pelvic radiographs across the f... read more 

Modeling freshwater inflow to a tropical estuary using stochastic and neural-network approaches under contrasting hydroclimatic conditions in Brazil.

Environmental monitoring and assessment
Freshwater inflow regulates estuarine circulation, salinity gradients, sediment transport, and biogeochemical fluxes, yet long-term discharge records remain scarce in many tropical coastal basins. We compared linear regression, stochastic time-series... read more 

THINKERS-X: multisequence MRI radiomics in a mixture-of-experts model for outcome prediction and exploratory dose-scenario evaluation in lung cancer brain metastases treated with radiosurgery.

Clinical & experimental metastasis
We developed THINKERS-X: Lung, the eXtended multimodal evolution of THINKERS-Lung, to determine whether multisequence MRI radiomics provides incremental value for lesion-specific outcome prediction and exploratory dose-scenario evaluation after Gamma... read more 

A deep neural network-enhanced multi-scale coupled model of patient-specific acoustic wave propagation for mechanotransduction stimulation of healthy and osteoarthritic knee articular cartilage.

Biomechanics and modeling in mechanobiology
This study presents a multi-scale computational framework to quantify how externally applied acoustic waves propagate through the knee joint and induce mechanotransductive strain at the level of the chondrocyte nucleus. Patient-specific knee geometri... read more 

Improving the fairness and robustness of deep learning classification models through bias mitigation and post hoc calibration.

International journal of computer assisted radiology and surgery
PURPOSE: The goal of this study was to enhance the fairness and clinical applicability of deep learning models for classifying Alzheimer's disease from structural MRI scans. To achieve this, we addressed two key challenges: age-related bias and unrel... read more 

Assessing the Potential Cumulative Effects of Longitudinal Interventions for Depression and Deviant Peer Association on Academic Achievement: a Causal Inference Approach.

Prevention science : the official journal of the Society for Prevention Research
In various studies, depressive symptoms, deviant peer association, and academic achievement appear to be reciprocally and cumulatively related across the transition from childhood to adolescence. This study asks a hypothetical question: how much woul... read more 

Immediate Hemodynamic Effects of Pulmonary Artery Flow Restrictors in Univentricular Circulation: Hypothesis-Generating Insights from High-Fidelity Physiologic Streaming Data Using Machine-Learning.

Pediatric cardiology
Hypoplastic left heart syndrome has been historically palliated with the surgical Norwood or hybrid procedures. Transcatheter placement of pulmonary flow restrictors (PFR) with prostaglandin to maintain an unobstructed ductus arteriosus has emerged a... read more 

A multi-stage multimodal learning model for functional outcomes prediction in acute ischemic stroke.

Neuroradiology
Predicting functional outcomes in acute ischemic stroke (AIS) patients after endovascular thrombectomy (EVT) remains challenging due to the complex and dynamic nature of disease progression. Existing methods typically rely on single-stage imaging or ... read more 

Microalgae-based removal and biodegradation of antibiotics: mechanisms, synergistic consortia, and engineering prospects.

Biodegradation
Antibiotic pollution in aquatic environments drives the spread of resistance genes and threatens ecosystem health. Microalgae offer a dual-function platform that both senses antibiotic stress and actively removes these contaminants. This review synth... read more