Artificial Intelligence Medical Compendium

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

Showing 36,221 to 36,230 of 223,137 articles

Predicting one-year mortality risk in ICU patients with ischemic stroke using multi-algorithm machine learning and a nomogram.

Technology and health care : official journal of the European Society for Engineering and Medicine
Introduction: Ischemic stroke is a leading cause of mortality, and patients requiring intensive care unit (ICU) admission carry a guarded prognosis. We aimed to develop and validate a predictive model for estimating one-year mortality risk in ICU-adm... read more 

Cardiology at the Threshold of a New Biological Era: The Role of Multiomics and Metabolomics.

Kardiologiia
Modern cardiology is entering a phase where improving the prevention, diagnosis, and treatment of cardiovascular diseases (CVD) necessitates a deeper understanding of the underlying biological mechanisms. The traditional clinical model, relying prima... read more 

Machine learning-driven multidimensional tea profiling from a single SERS spectrum: toward practical application.

The Analyst
Multidimensional tea profiling is crucial for consumer experience, brand reputation, and market integrity. Here, we introduce a rapid and systematic strategy for multidimensional tea authentication based on a single surface-enhanced Raman spectroscop... read more 

CHAOS - A Large-scale Database for σ-Profiles and Other Molecular Descriptors.

Journal of chemical information and modeling
σ-Profiles obtained from quantum-chemical calculations are key molecular descriptors for solvent selection, thermodynamic modeling, and data-driven molecular design. However, existing σ-profile libraries are limited in size and are difficult to combi... read more 

Deep-Learning-Assisted Fluorescence Sensor Array for Quantitative Screening of Perfluoroalkyl Substances in Water.

Analytical chemistry
The severe environmental and health risks posed by perfluoroalkyl substances (PFASs), coupled with the limitations of conventional detection methods, have highlighted the urgent need to develop efficient analytical platforms. However, the simultaneou... read more 

A Temperature-Pressure Dual-Mode Flexible Patch Sensor with Temperature Compensation and Pressure Decoupling Functions for Pulse Detection and Recognition.

ACS sensors
Accurate and continuous detection of human pulse waves is critical for long-term health monitoring and physiological assessment during physical activity. However, most conventional flexible pulse sensors are single-mode, making them susceptible to in... read more 

Machine learning for accelerated prediction of size distributions of spherical nanoparticles from small-angle X-ray scattering.

Physical chemistry chemical physics : PCCP
Small-angle X-ray scattering (SAXS) is widely used for characterizing the particle size distribution (PSD) at the mesoscale. Conventional extraction of PSD from SAXS data typically relies on traditional numerical methods such as Monte Carlo algorithm... read more 

Solvent effects on CO2 capture by simple amino acids: an integrated density functional theory - machine learning approach.

Physical chemistry chemical physics : PCCP
The process of CO2 capture by amino acids offers a promising approach for carbon capture technologies, yet the influence of the molecular structure and solvent environment on the reaction mechanisms remains to be understood. The present study investi... read more 

Perspectives of UK horse carers towards the use of artificial intelligence in equine healthcare.

The Veterinary record
BACKGROUND: Artificial intelligence (AI) is becoming increasingly prevalent in the modern world, including in veterinary medicine. This cross-sectional study aimed to investigate horse carers' attitudes towards using AI use in equine care. METHODS: A... read more