Artificial Intelligence Medical Compendium

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

Showing 63,241 to 63,250 of 230,760 articles

A Deep Learning Model for Dynamic Prediction of Acute Kidney Injury in Heart Failure Patientss.

The Canadian journal of cardiology
BACKGROUND: This study aimed to develop and validate a dynamic prediction model for acute kidney injury (AKI) in heart failure (HF) patients. METHODS: Using data from 7,636 HF patients in the MIMIC-IV v3.1 database, we constructed a Long Short-Term M... read more 

AggrescanAI: Prediction of Aggregation-Prone Regions Using Contextualized Embeddings.

Journal of molecular biology
Protein aggregation plays a central role in the pathogenesis of many neurodegenerative diseases and poses major challenges in protein engineering. A key driver of this process is the presence of aggregation-prone regions (APRs) within protein sequenc... read more 

Association between retinal AV ratio and coronary artery disease severity in acute coronary syndrome and chronic coronary syndrome Patients: A prospective study.

Indian heart journal
BACKGROUND: Early, non-invasive detection of coronary artery disease (CAD) is a significant challenge. Given the anatomical and pathophysiological parallels between retinal and coronary microvasculature, retinal arteriovenous (AV) ratio may serve as ... read more 

Computer Aided Polyp Detection Multi-center International Randomized Controlled Study with a Focus on Community Clinics: GAIN Clinical Trial.

Gastrointestinal endoscopy
BACKGROUND/AIMS: Computer-aided polyp detection (CADe) systems can enhance polyp detection, although their performance has largely been evaluated at academic rather than community practices. This randomized controlled trial evaluated the impact of th... read more 

Core Elements of Goals of Care Initiatives Across Eight Health Systems.

Journal of pain and symptom management
For patients with serious illnesses, goals of care conversations improve quality of life and patient and family satisfaction and may reduce healthcare costs. However, these conversations often happen late in a serious illness or not at all. To better... read more 

A federated learning framework for ethical dynamic treatment allocation across heterogeneous hospitals.

Journal of biomedical informatics
OBJECTIVE: In this paper, we propose an adaptive federated learning framework to learn optimal treatments for individual hospitals that possibly serve different patient populations. The proposed framework can enable the design of more efficient treat... read more 

Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg.

NeuroImage
Magnetic resonance imaging (MRI) has played a crucial role in fetal neurodevelopmental research. Structural annotations of MR images are an important step for quantitative analysis of the developing human brain, with Deep Learning providing an automa... read more 

White matter microstructure predicts effort and reward sensitivity.

NeuroImage
From rodents to humans, animals constantly face a central question: is the reward worth the effort? Effort and reward sensitivity in such situations vary substantially across individuals and ultimately shape goal-directed behavior. Yet, the neuroanat... read more 

Development of a Patient-Specific Fontan Failure Risk Calculator Using Machine Learning - A Step Towards Personalized Medicine.

The Journal of thoracic and cardiovascular surgery
OBJECTIVE: The Fontan operation is the final step in staged palliation for patients with single ventricle physiology. It has extended their life expectancy and improved their quality of life. However, long-term complications and Fontan failure remain... read more 

Quality of Head and Neck Diffusion-weighted MR Imaging Using a Combination of the Periodically Rotated Overlapping Parallel Lines with Enhanced Reconstruction (PROPELLER) Sequence and Deep Learning Reconstruction.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
PURPOSE: To evaluate whether periodically rotated overlapping parallel lines with enhanced reconstruction-diffusion-weighted imaging (PROPELLER-DWI) combined with deep learning-based reconstruction (DLR) improves head and neck DWI, we conducted a pri... read more