Artificial Intelligence Medical Compendium

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

Showing 12,661 to 12,670 of 210,436 articles

geoAMBI: A new molluscan biotic index for assessing biological condition of estuaries along the mid-Atlantic coast of the United States.

Marine pollution bulletin
Biotic indices are used by environmental managers to assess the biological condition of benthic habitats in response to environmental stressors. Successful application depends on availability of reference data characterizing minimally degraded condit... read more 

Distinct diurnal drivers of estuarine pCO2 revealed by interpretable machine learning.

Marine pollution bulletin
Pronounced diurnal differences in the partial pressure of CO2 (pCO2) in surface estuary waters are observed, and resolving these disparities is a prerequisite for improving regional carbon budget estimates. However, underlying drivers of pCO2 at the ... read more 

Subject-independent emotion recognition with EEG bispectral quadratic phase coupling features and explainable machine learning.

Biomedical physics & engineering express
Subject-independent emotion recognition from electroencephalography (EEG) is constrained by nonlinear neural dynamics and inter-subject variability. This study characterises nine bispectral quadratic phase coupling (QPC) descriptors extracted from fr... read more 

Stabilizing neuromorphic ECG processors via adaptive fractional fatigue.

Biomedical physics & engineering express
Spiking Neural Networks (SNNs) deployed on wearable devices can exhibit runaway firing when processing noisy electrocardiogram (ECG) signals, increasing switching activity and dynamic power and destabilising power regulation. To suppress redundant fi... read more 

Beyond the Model: Practical Insights from Monitoring Predictive Models Across Diverse Clinical Workflows.

Applied clinical informatics
OBJECTIVES: To support the artificial intelligence (AI) lifecycle in an integrated academic health system, we implemented a modular monitoring system to oversee electronic health record (EHR) vendor-provided clinical predictive models. This case stud... read more 

Few-Shot Lung Cancer Classification via Electronic Nose Using Large Language Models: A Multicentre Prospective Study.

Respirology (Carlton, Vic.)
BACKGROUND AND OBJECTIVE: Electronic Nose (eNose) breathprints are promising non-invasive lung cancer diagnostic tools, but cross-site validation and adaptation remain barriers to clinical applications. It remains unknown whether a natural language p... read more 

Meta-Learning as a Promising Strategy for Lipid Nanoparticle Optimization and Ionizable Lipid Discovery.

Nano letters
The rapid growth of lipid nanoparticle (LNP)-based RNA therapeutics demands predictive tools to accelerate formulation and lipid design, yet development remains limited by complex delivery mechanisms and scarce high-quality data. We investigated few-... read more 

Circadian Deregulation in Multiple Myeloma: BMAL1/CLOCK Expression Patterns and Diagnostic Performance.

International journal of laboratory hematology
BACKGROUND: Circadian clock disruption has emerged as a relevant axis in cancer; however, the expression patterns and diagnostic relevance of BMAL1 and CLOCK in multiple myeloma (MM) remain insufficiently defined. METHODS: BMAL1 and CLOCK mRNA expres... read more