Artificial Intelligence Medical Compendium

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

Showing 17,801 to 17,810 of 214,033 articles

CogniSNN: Enabling neuron-expandability, pathway-reusability, and dynamic-configurability in spiking neural networks.

Neural networks : the official journal of the International Neural Network Society
Spiking neural networks (SNNs) hold promise for bridging artificial intelligence and computational neuroscience. However, mainstream SNNs predominantly adopt the rigid, chain-like architectures of artificial neural networks (ANNs), ignoring key struc... read more 

Development and Validation of FlapCheck.ai, a Fully Automated Artificial Intelligence Model for Postoperative Flap Viability Assessment.

Journal of reconstructive microsurgery
BACKGROUND: Postoperative flap monitoring is critical for early detection and salvage of compromised flaps. As shorter hospital stays and outpatient procedures become common, accurate and user-friendly tools for remote flap viability assessment are n... read more 

Signal-Based Assessment of Postural Stability Using ECG, EMG, and Center of Pressure Measures.

Physiological measurement
Postural stability reflects the integrated function of autonomic, neuromuscular, and postural control systems and deteriorates with aging and reduced physical activity. Although electrocardiography(ECG), electromyography(EMG), and center of pressure(... read more 

Image-derived input functions for [18F]LW223 and [18F]SynVesT-1 PET in the rodent determined using an autoencoder (IDIF-AE).

Physics in medicine and biology
Objective.Quantitative analysis of dynamic positron emission tomography (PET) scans requires knowledge of the arterial input function (AIF). Existing means of extracting the AIF are invasive and costly (blood sampling), or come with significant error... read more 

Influence of scintillation light confinement on depth-of-interaction measurement performance in a single-Ended readout PET detector.

Physics in medicine and biology
Continuous depth-of-interaction (cDOI) detectors enable single-ended readout in positron emission tomography (PET) by encoding the interaction depth into the scintillation light distribution. This study presents a comprehensive performance optimizati... read more 

A Multiassessment and Multiprofessional Agents Approach for Medical Chatbot Risk Estimation: Development and Evaluation Study.

JMIR medical informatics
BACKGROUND: Assessing chatbot responses across 3 domains-medical, ethical, and legal-is essential to ensuring the safe use of artificial intelligence in health care. Although advancements in the use of large language models (LLMs) show significant im... read more 

Evaluating Crowdsourced Data Collection for Carceral Death Surveillance: Pilot Study Using Amazon Mechanical Turk.

JMIR formative research
BACKGROUND: People who are incarcerated face significantly higher health risks than the general population, yet deaths in custody remain underreported and poorly monitored by public health systems. Although the federal Death in Custody Reporting Act ... read more 

Transforming Psoriatic Disease Care Through Innovation and Real-World Data: GRAPPA 2025 Soapbox Highlights.

The Journal of rheumatology
The Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2025 annual meeting, held in Bogotá, Colombia, featured soapbox presentations highlighting innovative approaches to psoriatic disease (PsD) care. Dr. Vasileios Charis... read more 

Deep learning the TF regulatory code for gene expression.

Genome research
Gene transcription is activated through the interaction between cis-regulatory elements (CREs) and transcription factors (TFs). CREs serve as templates to provide binding sites, whereas TFs provide functions to directly initiate transcription. Curren... read more 

Embracing the suboptimal organization of the human brain.

Trends in cognitive sciences
Human brain architecture is guiding brain-inspired artificial intelligence (AI) and has been treated as an optimal template, whose deviations could mark different psychiatric and neurological conditions. We argue this premise is wrong: under any sing... read more