Artificial Intelligence Medical Compendium

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

Showing 59,061 to 59,070 of 227,876 articles

Contemporary implantable cardiac device trials for sudden cardiac death and future guidelines: how can we shape the future?

Expert review of cardiovascular therapy
INTRODUCTION: Sudden cardiac death (SCD) remains a major cause of mortality despite substantial progress in heart failure management and arrhythmia prevention. Current implantable cardioverter-defibrillator (ICD) guideline recommendations, mainly bas... read more 

Fully automatic AI diagnosis of alveolar bone defect in anterior teeth on CBCT images.

Clinical oral investigations
OBJECTIVE: To develop a fully automatic artificial intelligence (AI) system for diagnosing alveolar bone defects (ABDs) in anterior teeth on cone-beam computed tomography (CBCT) images. MATERIALS AND METHODS: This fully automatic AI system consists o... read more 

Proteomics Profiling Reveals Circulating Biomarkers and Dysregulated Pathways in Transthyretin Amyloid Cardiomyopathy.

Circulation. Heart failure
BACKGROUND: Transthyretin amyloid cardiomyopathy (ATTR-CM) causes a restrictive cardiomyopathy resulting in heart failure (HF). Signaling pathways associated with ATTR-CM are not well defined. The purpose of this study was to identify signaling pathw... read more 

[Telemedicine in heart failure : Evidence, benefits and future perspectives].

Herz
In recent years telemonitoring for heart failure (TmHi) has transitioned from project-based pilot applications to a structured and fully reimbursed component of routine outpatient care in Germany. This development is supported by robust evidence from... read more 

Artificial intelligence-enabled pediatric radiology in low-resource settings: addressing resource constraints in the African healthcare system.

Pediatric radiology
Artificial intelligence (AI) holds immense promise in guiding clinical decision making in pediatric radiology, but its implementation in resource-constrained healthcare systems is limited by several significant challenges. The common AI methods, spec... read more 

What should AI explain to you? Visions of older adults regarding explainable AI.

The Gerontologist
BACKGROUND AND OBJECTIVES: Artificial Intelligence (AI) combined with smart sensors or conversational agents are becoming part of our lives, and have the potential to improve ageing in place by supporting independent living. Trust and willingness to ... read more 

Deep learning-accelerated 3D flair for white matter lesion detection in multiple sclerosis: a feasibility study.

Neuroradiology
OBJECTIVES: Deep learning (DL)-based image reconstruction (DLBIR) techniques promise accelerated MRI acquisitions with enhanced image quality. Herein, we compare the image quality of a DLBIR-based 3D FLAIR (3D-FLAIRDL) with conventional 3D FLAIR (3D-... read more 

A performance comparison of mobile transect methods for heat and humidity prediction in complex urban environments.

International journal of biometeorology
Wet Bulb Globe Temperature is a heat stress metric that accounts for air temperature, humidity, solar radiation, and wind speed. While methods of WBGT calculation from standard meteorological variables have been developed, these are often only used a... read more 

Physics-guided machine learning for real-time, non-contact quantification of liquid volume at micro litter under cyclone flow.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
Cyclone flow is a technique to evaporate the liquid at room temperature. Efficient milliliter-to-microliter sample concentration at room temperature is expected for high-sensitivity analysis in biology and chemistry; however, it is hindered by the di... read more