Artificial Intelligence Medical Compendium

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

Showing 9,541 to 9,550 of 208,566 articles

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

Scientific reports May 27, 2026
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 May 27, 2026
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 May 27, 2026
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 May 27, 2026
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 May 27, 2026
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 

Evaluation of ChatGPT-5-generated surgical literature: the accuracy of a review on penile prosthesis implantation.

International journal of impotence research May 27, 2026
The integration of artificial intelligence language models into medical literature requires rigorous evaluation of accuracy and reliability, especially in specialized domains. This study assessed ChatGPT-5's capacity to generate clinically accurate s... read more 

Data for famine and extreme emergencies: challenges and opportunities.

Journal of public health policy May 27, 2026
High-quality data are a pre-requisite for the development of models-whether of famine or food and nutrition-related emergencies. We highlighted challenges, related to data in famines or near-famine emergencies, including data availability, quality, t... read more 

Descriptor-guided thermodynamic screening of [Formula: see text] adsorption on single-atom-doped anatase [Formula: see text] nanoparticles with interpretable machine learning.

Scientific reports May 27, 2026
Understanding how surface dopants tune [Formula: see text] adsorption on oxide nanoparticles is important for the design of reversible hydrogen-storage materials and catalytic interfaces. Here, we present a descriptor-guided screening study of molecu... read more 

Machine learning-assisted meta-analysis reveals melatonin crosstalk regulating plant growth plasticity under heavy metal stress.

Plant cell reports May 27, 2026
Heavy metal (HM) pollution is a traditional and ongoing global ecological issue that requires continuous attention. Although studies have focused on how plants cope with HMs stress, the related results ineffectively serve phytoremediation and control... read more 

Dense-MoE vs Lite-MoE: A Gating-Weight-Aware Pruning Framework for Unpaired Multimodal Breast Cancer Diagnosis.

Journal of imaging informatics in medicine May 27, 2026
This study proposes a unique Mixture-of-Experts (MoE)-based deep learning framework for the effective use of unpaired multimodal images in breast cancer diagnosis. Mammography (MG), ultrasonography (US), and magnetic resonance imaging (MRI) data are ... read more 
Popular Topics
Recent Journals