Artificial Intelligence Medical Compendium

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

Showing 10,581 to 10,590 of 209,601 articles

A novel data augmentation method and a data-driven prediction model for surface flashover at gas-solid interfaces under nanosecond pulses.

Scientific reports
Surface flashover at gas-solid interfaces is a critical factor in electromagnetic pulse simulator reliability. To accurately predict flashover events over a wide surface distance range (15-500 mm), this paper develops a machine-learning-based classif... read more 

Swarm intelligence-guided ROI selection for deep learning assessment of HER2 in colorectal cancer.

Scientific reports
Accurate assessment of Human Epidermal Growth Factor Receptor 2 (HER2) status in colorectal cancer (CRC) is pivotal for precision therapy, yet the gigapixel resolution of Whole Slide Images (WSIs) presents a significant computational bottleneck for t... read more 

Application of machine learning algorithms for prediction of abortion and its determinants among women of reproductive-age in East African countries.

Scientific reports
In low- and middle-income nations, abortion ranks among the top five causes of maternal mortality. It is associated to a pregnancy and childbirth-related complications. Despite this, there are few scientific researches focusing on predicting abortion... read more 

Diagnosing morphology-vitality relationships through multifractal urban form metrics and explainable machine learning.

Scientific reports
Understanding how urban morphology is associated with urban vitality is important for sustainable urban regeneration, yet conventional density-based indicators often fail to capture cross-scale heterogeneity in three-dimensional urban form. This stud... read more 

Colorless image processing technique combining chromaticity transfer and image feature extraction in visual graphic design.

Scientific reports
This study presents a verifiable framework for high-fidelity colorless image processing by integrating depth-guided chrominance transfer with multi-level feature extraction. To address critical limitations of traditional methods-color inconsistency, ... read more 

An uncertainty-aware evaluation framework based on hierarchical vision transformers for robust cross-domain plant leaf disease classification.

Scientific reports
Plant leaf disease detection is a critical task in precision agriculture, where reliable diagnosis under real-world conditions is essential for reducing crop losses and supporting timely intervention. Although deep learning models have achieved high ... read more 

Evaluating deep coal rock gas fracturing sweet spot intervals using PSO-ELM algorithm and petrophysical logging data.

Scientific reports
The Daning Jixian block is situated on the eastern periphery of the Ordos Basin. it faces multiple challenges including strong reservoir heterogeneity and unclear identification of fracturing sweet spot interval interval intervals, which restrict the... read more 

Double deep reinforcement learning twin-delayed agents for performance improvement of a grid-connected wave energy conversion system.

Scientific reports
This study introduces a novel approach using two deep learning agents, trained with the twin-delayed deep deterministic policy gradient (TD3) algorithm, to replace the PI controllers used for the control of grid-connected Archimedes Wave Swing (AWS) ... read more 

A spectrogram and local feature-assisted convolutional neural network for Amharic speech emotion identification.

Scientific reports
Speech Emotion Recognition (SER) plays a significant role in improving human-computer interaction and human-human communication. Nevertheless, speech emotion recognition in low-resource languages like Amharic is still a difficult task because of the ... read more 

AI and the democratization of knowledge work.

Nature computational science
Generative artificial intelligence (AI) is broadly impacting knowledge workers and knowledge work, a valuable part of modern economies. Recent empirical research shows that when people use generative AI for work they primarily use it for high-complex... read more