Artificial Intelligence Medical Compendium

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

Showing 68,751 to 68,760 of 233,540 articles

Interpretable Multiwavelength SERS Fingerprints of Human Urine for Ischemic Stroke Diagnosis.

ACS sensors
Surface-enhanced Raman spectroscopy (SERS) can capture single-molecule-level component information from complex biological samples by providing their fingerprint profiles. However, increasing complexity and subtle variations in biological media can d... read more 

Plant immune inducers from fundamental research to applications: Past achievements, current challenges, and future perspectives.

Plant communications
Plant pathogens cause substantial global crop losses, posing a serious threat to food security. Conventional chemical pesticides face increasing challenges, including the development of pathogen resistance and environmental pollution. In contrast, pl... read more 

Teaching reform of pharmaceutical engineering design courses via AI-driven CDMO model.

Currents in pharmacy teaching & learning
This study innovates pharmaceutical engineering education with an AI-driven CDMO framework, addressing traditional curricular gaps via targeted solutions. CDMO-oriented teaching cases enhance students' domain expertise, practical skills, and STEM com... read more 

Artificial intelligence in pharmacy education: A scoping review of current integration & global perceptions.

Currents in pharmacy teaching & learning
BACKGROUND: The rapid evolution of artificial intelligence (AI) is reshaping healthcare, including pharmacy, requiring AI-proficient pharmacy graduates. This necessitates an understanding of how AI is utilized in pharmacy education. This scoping revi... read more 

University students' learning intention towards generative art in higher education: A SEM-ANN study of human-AI co-creation factors.

Acta psychologica
The pervasive implementation of generative AI technology in art and design has made exploring students' learning intentions towards generative art a pivotal research topic in higher education. This study aims to explore the factors influencing univer... read more 

Degradation of organic contaminants by non-thermal plasma: Unraveling the pH-dependent mechanism based on experiment, density functional theory analysis and machine learning.

Environmental research
This paper studies the dependence of different pollutant degradation by dielectric barrier discharge plasma (DBD) technology on pH through experiments at different pH levels, density functional theory (DFT), and machine learning. When pH = 3.1, methy... read more 

Applicator reconstruction in cervical cancer brachytherapy: A systematic review of current methods, challenges, and AI-driven future directions.

Brachytherapy
PURPOSE: Accurate applicator reconstruction is a critical step in 3D image-guided brachytherapy (3D-IGBT) for cervical cancer, directly influencing tumor control and organ-at-risk sparing. This systematic review evaluates the accuracy, efficiency, an... read more 

ProtoRadNet: Prototypical patches of Convolutional Features for Radiology Image Classification Network.

Artificial intelligence in medicine
Convolutional Neural Networks (CNNs) have achieved significant success in classifying radiology images; however, their implementation often resembles a "black box," limiting medical practitioners' ability to comprehend and trust the decisions made du... read more 

Iron-enhanced sludge anaerobic fermentation for short-chain fatty acids production: A comprehensive review.

Environmental research
Iron-assisted anaerobic fermentation (AF) has emerged as a promising strategy for valorizing waste activated sludge (WAS) by enhancing the production of short-chain fatty acids (SCFAs), which serve as versatile precursors for various biobased and ind... read more 

Spatial heterogeneity and evolutionary pathways of PM2.5 pollution driven by urbanization in China to 2100.

Environmental research
With the continued acceleration of global urbanization, PM2.5 pollution has become a critical environmental constraint to sustainable urban development. This study applied machine learning to predict the impacts of urbanization on PM2.5 concentration... read more