Artificial Intelligence Medical Compendium

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

Showing 1,731 to 1,740 of 165,003 articles

Moiré Zero: An Efficient and High-Performance Neural Architecture for Moiré Removal

arXiv Jul 30, 2025
Moir\'e patterns, caused by frequency aliasing between fine repetitive structures and a camera sensor's sampling process, have been a significant obstacle in various real-world applications, such as consumer photography and industrial defect inspec... read more 
Computer Vision and Pattern Recognition Image and Video Processing

Hypernetworks for Model-Heterogeneous Personalized Federated Learning

arXiv Jul 30, 2025
Recent advances in personalized federated learning have focused on addressing client model heterogeneity. However, most existing methods still require external data, rely on model decoupling, or adopt partial learning strategies, which can limit th... read more 
Machine Learning Distributed, Parallel, and Cluster Computing

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection

arXiv Jul 30, 2025
Sewer pipe faults, such as leaks and blockages, can lead to severe consequences including groundwater contamination, property damage, and service disruption. Traditional inspection methods rely heavily on the manual review of CCTV footage collected... read more 
Robotics

LOTS of Fashion! Multi-Conditioning for Image Generation via Sketch-Text Pairing

arXiv Jul 30, 2025
Fashion design is a complex creative process that blends visual and textual expressions. Designers convey ideas through sketches, which define spatial structure and design elements, and textual descriptions, capturing material, texture, and stylist... read more 
Computer Vision and Pattern Recognition Artificial Intelligence

Design of highly functional genome editors by modelling CRISPR-Cas sequences.

Nature Jul 30, 2025
Gene editing has the potential to solve fundamental challenges in agriculture, biotechnology and human health. CRISPR-based gene editors derived from microorganisms, although powerful, often show notable functional tradeoffs when ported into non-nati... read more 

The Future Use of AI to Improve Accessibility of Assisted Reproductive Technology (ART) in Low- and Middle-Income Countries.

Reproduction & fertility Jul 30, 2025
ABSTRACT: People in low- and middle-income countries face many obstacles when trying to access fertility treatments. These challenges include high costs, the need for specialized medical facilities, and cultural beliefs that may discourage seeking he... read more 

Re: Application of artificial intelligence to ultrasound imaging for benign gynecological disorders: systematic review.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Jul 30, 2025
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Artificial intelligence in pharmacovigilance: a narrative review and practical experience with an expert-defined Bayesian network tool.

International journal of clinical pharmacy Jul 30, 2025
BACKGROUND: Pharmacovigilance is vital for monitoring adverse drug reactions (ADRs) and ensuring drug safety. Traditional methods are slow and inconsistent, but artificial intelligence (AI), through automation and advanced analytics, improves efficie... read more 

HQ-CLIP: Leveraging Large Vision-Language Models to Create High-Quality Image-Text Datasets and CLIP Models

arXiv Jul 30, 2025
Large-scale but noisy image-text pair data have paved the way for the success of Contrastive Language-Image Pretraining (CLIP). As the foundation vision encoder, CLIP in turn serves as the cornerstone for most large vision-language models (LVLMs). ... read more 
Computer Vision and Pattern Recognition

Leveraging Data Science to Elucidate Ligand Features for Pd-Catalyzed Enantioretentive -Arylations of Cyclic α-Substituted Amines in Aqueous Media.

Journal of the American Chemical Society Jul 30, 2025
The combination of high-throughput experimentation (HTE) and data science offers a promising solution for the optimization of challenging chemical reactions, although current data science approaches to deal with highly skewed data sets resulting from... read more 
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