Artificial Intelligence Medical Compendium

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

Showing 57,291 to 57,300 of 227,153 articles

Assistive Robotics for Healthy Aging: A Foundational Phenomenological Co-Design Exercise.

Journal of medical Internet research
BACKGROUND: Assistive robotics for helping older people live well and stay independent has, to date, failed to fulfill its promise: there are few assistive robots in everyday use. In part, this failing can be attributed to inadequate or missing co-de... read more 

Implementing an Artificial Intelligence Decision Support System in Radiology: Prospective Qualitative Evaluation Study Using the Nonadoption Abandonment Scale-Up, Spread, and Sustainability (NASSS) Framework.

Journal of medical Internet research
BACKGROUND: Medical imaging remains at the forefront of advancements in adopting digital health technologies in clinical practice. Regulator-approved artificial intelligence (AI) clinical decision support systems are commercially available and being ... read more 

Development and Validation of a Protein Electrophoresis Classification Algorithm: Tabular Data-Based Alternative.

JMIR formative research
Serum protein electrophoresis (SPE) is routinely interpreted through visual assessment of electropherogram images by medical laboratory scientists. We introduce an efficient tabular data-based machine learning approach that directly leverages numeric... read more 

Metabolic Syndrome and a Broken Heart: Trust Your Gut or Risk Your Heart.

American journal of physiology. Heart and circulatory physiology
Gut dysbiosis is increasingly recognized as a contributor to heart failure; however, its specific role in the development of metabolic syndrome-induced heart failure (MetS-HF) remains poorly defined. A defining feature of MetS-HF is cardiac steatosis... read more 

Artificial Intelligence Driven Virtual Screening and Molecular Docking Approaches Identified LIFR, BTG2, EPHX2, and PAK3 as Targets and BI-2536, AP-24534, and AZ-628 as Repurposed Drugs for PDAC.

IEEE transactions on computational biology and bioinformatics
Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive and lethal tumors worldwide, with limited effective treatments. Globally, the incidence of pancreatic cancer is expected to rise to 18.6 per 100,000 by 2050, with an average annual... read more 

Sub-connection Learning for fMRI-based Brain Functional Network.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Brain functional network analysis models the brain as a graph of regions of interest (ROIs) and quantifies the correlations across different regions derived from functional magnetic resonance imaging (fMRI). Recently, artificial intelligence-based br... read more 

Emerging Role of Portable Accelerometers for Assessment of Gait Instability in Idiopathic Normal Pressure Hydrocephalus: A Systematic Review.

Journal of geriatric psychiatry and neurology
BackgroundIdiopathic normal pressure hydrocephalus (iNPH) is a reversible cause of gait disturbance, cognitive decline, and urinary incontinence in older adults. Early detection with shunt surgery can significantly improve symptoms.MethodsA systemati... read more 

Analysis of differential photoplethysmography signal patterns in apnea and hypopnea.

Physiological measurement
OBJECTIVE: Photoplethysmography, a non-invasive optical technique that measures changes in blood volume in the microvascular bed of tissue, offers a promising approach for monitoring physiological changes during sleep. This study evaluates differenti... read more 

An Efficient 3D Latent Diffusion Model for T1-contrast Enhanced MRI Generation.

Biomedical physics & engineering express
Gadolinium-based contrast agents (GBCAs) are commonly employed with T1-weighted (T1w) MRI to enhance lesion visualization but are restricted in patients at risk of nephrogenic systemic fibrosis and variations in GBCA administration can introduce imag... read more 

Generative deep learning synthesizes high signal-to-noise ratio sensitivity maps for PET from low count direct normalization data.

Physics in medicine and biology
An accurate and precise normalization procedure is essential to correct for variations in detector efficiency in reconstructed positron emission tomography (PET) images. Direct normalization is a conventional approach that requires a large&#x... read more