Artificial Intelligence Medical Compendium

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

Showing 47,931 to 47,940 of 224,199 articles

Label-Free Differentiation of Antimicrobial Resistance Groups Using Raman Spectroscopy.

Analytical chemistry
Increasing antimicrobial resistance (AMR) has developed into an enormous health burden. Here, a systematic investigation was conducted to evaluate the discriminative performance of Raman spectroscopy between different resistance classes (Susceptible,... read more 

A Dual-Engine Artificial Intelligence Framework Accelerates Sustainable Aviation Fuel Component Synthesis.

Journal of the American Chemical Society
Decarbonizing aviation with sustainable drop-in fuels is essential for credible net-zero pathways. However, assembling energy-dense jet fuel hydrocarbons from C1 feedstocks demands multifunctional catalysts whose performance arises from nonlinear, hi... read more 

Artificial intelligence as a diagnostic support tool in hysteroscopy: current evidence and clinical implications.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy
BACKGROUND: Hysteroscopy allows direct inspection of the uterine cavity for many conditions. Despite being widely adopted, its diagnostic accuracy largely depends on surgeon expertise, leading to potentially misleading diagnoses. Artificial intellige... read more 

Diagnostic Accuracy of Artificial Intelligence Models in Computed Tomography Interpretation of Chronic Rhinosinusitis: A Systematic Review.

Ear, nose, & throat journal
BACKGROUND: Chronic rhinosinusitis (CRS) is a prevalent condition frequently evaluated using computed tomography (CT). The application of artificial intelligence (AI) in CRS imaging analysis is expanding; however, comprehensive assessments of its dia... read more 

Learning from All Views: A Multiview Contrastive Framework for Metabolite Annotation.

Analytical chemistry
Metabolomics, enabled by high-throughput mass spectrometry, promises to advance our understanding of cellular biochemistry and guide new discoveries in disease mechanisms, drug development, and personalized medicine. However, as the assignment of mol... read more 

DVMMHGNN: A Dual View Multi-Modal Heterogeneous Graph Neural Network with Contrastive Learning for Microbe-Informed Drug Repurposing.

Journal of chemical information and modeling
Drug repurposing (DR) offers an efficient and cost-effective strategy for pharmaceutical development by identifying new therapeutic applications for existing drugs. The effectiveness of this approach relies on accurately uncovering potential drug-dis... read more 

Quality Control of Herbal Medicine Based on Analytical Techniques and Machine Learning: Current Advances and Future Perspectives.

Phytochemical analysis : PCA
INTRODUCTION: This study enhances the quality control (QC) system essential for the modernization and global acceptance of herbal medicines (HMs). OBJECTIVES: This review systematically explores the transformative integration of modern analytical tec... read more 

Ethical and legal challenges of integrating artificial intelligence into paediatric surgery.

Annals of the Royal College of Surgeons of England
INTRODUCTION: Artificial intelligence (AI) technologies are increasingly being trialled with applications spanning imaging, robotic assistance and early risk prediction. Children's unique legal status presents distinct ethical and legal concerns. The... read more 

Unveil Fundamental Graph Properties for Neural Architecture Search.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Deep learning profoundly impacts various areas, such as face recognition and language translation. Owing to the increasingly high computational costs of training neural architectures, it is intractable to manually examine the performance of various n... read more