Artificial Intelligence Medical Compendium

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

Showing 54,731 to 54,740 of 226,183 articles

3D-QALAS synthetic MRI with Zero-DeepSub in children: initial experience including post-contrast imaging feasibility.

Pediatric radiology
BACKGROUND: Magnetic resonance imaging (MRI) in children requires multiple sequences, leading to lengthy exams and motion-related challenges. Synthetic MRI generates multiple contrasts from a single acquisition, and integration of 3D-quantification u... read more 

Prediction of Fontan failure and correlates of Fontan-associated liver disease severity using machine learning and radiomic features from multi-parametric abdominal MRI.

Pediatric radiology
BACKGROUND: Fontan-associated liver disease (FALD) is associated with morbidity and mortality in patients with palliated single ventricle congenital heart disease. OBJECTIVE: To develop machine learning models using radiomic features from T1-weighted... read more 

PerSiVal: deep neural networks for pervasive simulation of an activation-driven continuum-mechanical upper limb model.

Medical & biological engineering & computing
This paper introduces a novel densely connected neural network architecture designed for the pervasive visualisation of musculoskeletal system simulations. These simulations are built upon continuum-mechanical frameworks, which effectively integrate ... read more 

Multi-omics Analysis Reveals the Prognostic and Therapeutic Value of TGF-β Signaling-related Genes in Idiopathic Pulmonary Fibrosis.

Biochemical genetics
Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive lung disease with a survival rate comparable to or worse than that of many cancers. Proper TGF-β signaling is essential for normal lung function, but its disruption plays a key role in pul... read more 

Early heart-rate trajectory phenotypes predict short-term mortality in critically ill patients: a dynamic time-warping cluster analysis.

Journal of clinical monitoring and computing
UNLABELLED: Heart rate (HR) reflects illness severity in critically ill patients, but the prognostic significance of early HR changes is unclear. We aimed to identify HR trajectory phenotypes during the first 24 h of ICU admission and assess their as... read more 

Teaching Humanity in the Age of Artificial Intelligence: Why Medical Schools Should Prioritize Emotional Intelligence.

Academic medicine : journal of the Association of American Medical Colleges
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Multi-scale structural similarity embedding search across entire proteomes.

Bioinformatics (Oxford, England)
MOTIVATION: The rapid expansion of three-dimensional (3D) biomolecular structure information, driven by breakthroughs in artificial intelligence/deep learning (AI/DL)-based structure predictions, has created an urgent need for scalable and efficient ... read more 

Top-$k$ Feature Selection in Sparse Learning via Accelerated Coordinate Descent Method.

IEEE transactions on pattern analysis and machine intelligence
Top-$k$ feature selection in sparse learning is a fundamental problem in machine learning. It is difficult to conquer due to the rigid $\ell _{2,0}$-norm constraint. Existing literature mostly relaxes the constraint and seeks the approximation of the... read more 

Full-Scope Vectorization of Geographical Elements from Large-Size Remote Sensing Imagery.

IEEE transactions on pattern analysis and machine intelligence
Large-size very-high-resolution (VHR) remote sensing imagery has emerged as a critical data source for high-precision vector mapping of multi-scale geographical elements such as building, water, road and etc. When dealing with the large-size image, d... read more