Artificial Intelligence Medical Compendium

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

Showing 53,431 to 53,440 of 225,548 articles

Transforming food authenticity testing by the exploitation of a machine learning - Data fusion approach: a tea case study.

Food chemistry
The growing vulnerability of the global food supply chain highlights the need for rapid, accurate, and non-destructive authenticity testing. In this study, we developed and validated a workflow integrating Fourier-transform infrared, near-infrared, a... read more 

Structure over color: Diagnostic information in H&E images resides primarily in grayscale.

Journal of pathology informatics
Color is a defining feature of hematoxylin and eosin (H&E)-stained histological sections; however, the extent to which diagnostic interpretation depends on color rather than grayscale-defined structure remains uncertain. We utilized systematic digita... read more 

Machine learning modeling for predicting growth dynamics of Listeria monocytogenes using ComBase database: A comprehensive feature engineering approach.

Food research international (Ottawa, Ont.)
Traditional mechanistic models for Listeria monocytogenes prediction face limitations in capturing synergistic environmental interactions and nonlinear stress responses. The objective of this study is to develop a machine learning framework that addr... read more 

Harnessing artificial intelligence to capture online mental health stigma: A scoping review.

Psychiatry research
BACKGROUND: Mental health stigma remains a major barrier to care and is increasingly expressed online. Artificial intelligence (AI) may offer scalable ways to detect and analyze stigma, providing insights that could inform stigma-reduction strategies... read more 

Adaptive graph contrastive learning with hard negative mining for multimodal hyperspectral and LiDAR classification.

iScience
Joint classification of hyperspectral imagery (HSI) and light detection and ranging (LiDAR) data has attracted increasing attention in remote sensing. However, effective multimodal fusion and robust feature modeling remain challenging due to data het... read more 

Neural network-assisted RNA velocity imputation for empowering transcript dynamics-based analyses.

iScience
Existing RNA velocity estimation tools often fail to calculate velocities for a substantial portion of genes due to technical limitations or model assumptions, thereby restricting downstream analyses that rely on velocity estimations. To tackle this ... read more 

When distress meets technology: The mediating role of AI integration in the link between nurses' moral distress and moral integrity in critical care settings.

Applied nursing research : ANR
BACKGROUND: Moral distress is increasingly recognized as a critical challenge in critical care settings, where nurses frequently encounter ethically complex situations that can undermine their moral integrity. With the growing adoption of artificial ... read more 

A fast fully automated approach for evaluating calcified lesions in intravascular ultrasound.

European heart journal. Digital health
AIMS: Catheter-based coronary intervention is an effective treatment for acute coronary syndrome. However, calcified plaques pose significant challenges within these procedures, as they complicate stent deployment and passage of devices. This study p... read more 

A graph-based safe reinforcement learning method for multi-agent cooperation.

Neural networks : the official journal of the International Neural Network Society
Safety and Restricted Communication are two critical challenges faced by practical Multi-Agent Systems (MAS). However, most Multi-Agent Reinforcement Learning (MARL) algorithms that rely solely on reward shaping are ineffective in ensuring safety, an... read more 

Classification of DNA secondary structures by combining multiple spectral techniques with machine learning.

Analytica chimica acta
BACKGROUND: The identification of structural features is an essential prerequisite for the determination of DNA secondary structures and investigating structural formation mechanisms. Circular dichroism (CD) spectroscopy, fluorescence (FL) spectrosco... read more