Artificial Intelligence Medical Compendium

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

Showing 55,151 to 55,160 of 226,647 articles

Imaging for Scapholunate Ligament Injuries: Techniques, Challenges, and Innovations.

The Journal of hand surgery
Scapholunate (SL) ligament injuries are a common cause of wrist pain and instability but can be diagnostically challenging. Standard radiographs, ultrasound, computed tomography, and magnetic resonance imaging have been used for many years to assist ... read more 

Expanded Indications in Advanced Endoscopic Resection of Malignant Gastrointestinal Lesions.

Current gastroenterology reports
PURPOSE OF REVIEW: Endoscopic resection (ER) has transformed the management of early gastrointestinal (GI) malignancies by offering curative treatment with low morbidity and organ preservation. Traditionally restricted to mucosal disease with negligi... read more 

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