Artificial Intelligence Medical Compendium

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

Showing 1,091 to 1,100 of 161,498 articles

GeMix: Conditional GAN-Based Mixup for Improved Medical Image Augmentation

arXiv
Mixup has become a popular augmentation strategy for image classification, yet its naive pixel-wise interpolation often produces unrealistic images that can hinder learning, particularly in high-stakes medical applications. We propose GeMix, a two-... read more 

Machine Learning-Enhanced Modular Ionic Skin for Broad-Spectrum Multimodal Discriminability in Bidirectional Human-Robot Interaction.

Advanced materials (Deerfield Beach, Fla.)
Multimodal tactile perception systems that mimic the functionality of human skin are able to perceive complex external stimuli, facilitating advanced applications in human-machine interactions. However, current systems still struggle with limited sen... read more 

Dr AI will see you now: could artificial intelligence replace general practitioners?

Irish journal of medical science
Artificial intelligence (AI) is a rapidly advancing field aiming to replicate human intelligence in performing complex tasks. Whilst AI is having significant impacts on technology-driven medical specialties like radiology and pathology, its integrati... read more 

Privacy-Preserving Multimodal News Recommendation through Federated Learning

arXiv
Personalized News Recommendation systems (PNR) have emerged as a solution to information overload by predicting and suggesting news items tailored to individual user interests. However, traditional PNR systems face several challenges, including an ... read more 

Perspectives on data analytics for gaining a competitive advantage in football: computational approaches to tactics.

Science & medicine in football
The role of data-driven analyses is becoming more prominent in football. These have the potential to impact decision-making processes for team performance and player recruitment. Research in this area makes use of large datasets consisting of event a... read more 

Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos

arXiv
We introduce Being-H0, a dexterous Vision-Language-Action model (VLA) trained on large-scale human videos. Existing VLAs struggle with complex manipulation tasks requiring high dexterity and generalize poorly to novel scenarios and tasks, primarily... read more 

Artificial intelligence in smartphone video analysis for equine asthma diagnostic support.

Equine veterinary journal
BACKGROUND: Equine asthma is a prevalent respiratory disease that negatively impacts horses' health and athletic performance. Traditional diagnostic methods are invasive and require specialised equipment. There is a need for a non-invasive, cost-effe... read more 

A novel framework GRCornShot for corn disease detection using few shot learning with prototypical network.

Scientific reports
Precision and timeliness in the detection of plant diseases are important to limit crop losses and maintain global food security. Much work has been performed to detect plant diseases using deep learning methods. However, deep learning techniques dem... read more 

AI-CMCA: a deep learning-based segmentation framework for capillary microfluidic chip analysis.

Scientific reports
Capillary microfluidic chips (CMCs) enable passive liquid transport via surface tension and wettability gradients, making them central to point-of-care diagnostics and biomedical sensing. However, accurate analysis of capillary-driven flow experiment... read more 

Romance, Relief, and Regret: Teen Narratives of Chatbot Overreliance

arXiv
As Generative Artificial Intelligence (GenAI) driven chatbots like Character.AI become embedded in adolescent life, they raise concerns about emotional dependence and digital overreliance. While studies have investigated the overreliance of adults ... read more