Artificial Intelligence Medical Compendium

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

Showing 31,101 to 31,110 of 220,293 articles

Dissolved organic matter regulating the speciation and transport of potentially toxic metals in groundwater: Environmental implications and perspectives.

Journal of contaminant hydrology
Groundwater, as an important freshwater resource, faces an increasingly severe problem of contamination by potential toxic metals (PTEs). Dissolved organic matter (DOM) plays a crucial role in regulating the speciation and migration behaviour of PTEs... read more 

Bayesian optimization for uncertainty-aware prediction of rainfall-induced deformation in embankment dams.

Scientific reports
Reliable early warning of embankment dam failure requires predictive models that are accurate, physically consistent, and uncertainty-calibrated. This study proposes a hybrid physics-informed Bayesian deep learning framework integrating coupled u-p B... read more 

Mapping AI startup investment and innovation in healthcare using a five-tier AI systems complexity framework.

NPJ digital medicine
Artificial Intelligence (AI) is reshaping healthcare through advances in diagnostics, treatment, and operations, yet the startup ecosystem driving this transformation remains underexplored. Analyzing 3,807 AI health startups founded between 2010 and ... read more 

AI-based autism identification from hyperspectral imaging detection of oxidative stress in pediatric red blood cells.

Communications medicine
BACKGROUND: Oxidative stress (OS) plays a key role in many pathologies, yet the non-invasive, label-free, and cost-effective detection remains a challenge. This study evaluates Hyperspectral Imaging (HSI) combined with AI to detect OS by identifying ... read more 

A machine learning-assisted approach to explain key determinants for achieving live birth in autologous ICSI cycles.

Journal of assisted reproduction and genetics
PURPOSE: Can an explainable machine learning-assisted approach uncover data and prediction trends to select the most transparent model for live birth in autologous ICSI cycles? DESIGN: A retrospective multicenter cohort study (January 2011-December 2... read more 

Clinical accuracy and applications of the Pediatric Assessment Triangle in emergency care: a narrative review.

International journal of emergency medicine
BACKGROUND: The Pediatric Assessment Triangle (PAT) is a rapid visual assessment framework designed to support early identification of critically ill or injured children in emergency departments. It enables clinicians to quickly evaluate appearance, ... read more 

A sequence knowledge-guided deep learning method for single-cell multi-omics translation.

Genome biology
BACKGROUND: Analysis of proteins is key to understanding biological processes, disease pathogenesis, and advancing therapeutic development. However, proteome profiling remains significantly limited when compared to the exponential growth of single-ce... read more 

AI Methods for Implementation Science (AIM-IS): developing a framework, toolkit, and reporting standard for the responsible use of AI in implementation practice and research.

Implementation science : IS
BACKGROUND: Artificial intelligence (AI), including machine learning, natural language processing, and large language models, may support implementation practice and research in tasks such as evidence synthesis, determinant assessment, strategy selec... read more