Artificial Intelligence Medical Compendium

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

Showing 891 to 900 of 160,607 articles

Non-invasive tests of fibrosis in the management of MASLD: revolutionising diagnosis, progression and regression monitoring.

Gut Jul 17, 2025
With the recent conditional approval of resmetirom by the US Food and Drug Administration, the treatment of metabolic dysfunction-associated steatotic liver disease (MASLD) has potentially entered a new era, requiring a comprehensive understanding of... read more 

On tangible user interfaces, humans and spatiality

arXiv Jul 17, 2025
Like the prehistoric twig and stone, tangible user interfaces (TUIs) are objects manipulated by humans. TUI success will depend on how well they exploit spatiality, the intuitive spatial skills humans have with the objects they use. In this paper w... read more 
Human-Computer Interaction

Microbiome-based prediction of allogeneic hematopoietic stem cell transplantation outcome.

Genome medicine Jul 17, 2025
BACKGROUND: Allogeneic hematopoietic stem cell transplantation (HSCT) is potentially curative for hematologic malignancies but is frequently complicated by relapse and immune-mediated complications, such as graft-versus-host disease (GVHD). Emerging ... read more 
Treatment Outcome Gastrointestinal Microbiome Adolescent Feces Young Adult Graft vs Host Disease Female Hematopoietic Stem Cell Transplantation Male Saliva Humans Adult Aged Microbiota Middle Aged Transplantation, Homologous

Training Transformers with Enforced Lipschitz Constants

arXiv Jul 17, 2025
Neural networks are often highly sensitive to input and weight perturbations. This sensitivity has been linked to pathologies such as vulnerability to adversarial examples, divergent training, and overfitting. To combat these problems, past researc... read more 
Machine Learning

Improving Diagnostic Accuracy of Pigmented Skin Lesions With CNNs: an Application on the DermaMNIST Dataset

arXiv Jul 17, 2025
Pigmented skin lesions represent localized areas of increased melanin and can indicate serious conditions like melanoma, a major contributor to skin cancer mortality. The MedMNIST v2 dataset, inspired by MNIST, was recently introduced to advance re... read more 
Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition

Multi-Channel Graph Neural Network for Financial Risk Prediction of NEEQ Enterprises

arXiv Jul 17, 2025
With the continuous evolution of China's multi-level capital market, the National Equities Exchange and Quotations (NEEQ), also known as the "New Third Board," has become a critical financing platform for small and medium-sized enterprises (SMEs). ... read more 
Machine Learning

Predicting Sleep and Sleep Stage in Children Using Actigraphy and Heartrate via a Long Short-Term Memory Deep Learning Algorithm: A Performance Evaluation.

Journal of sleep research Jul 17, 2025
Children's ambulatory sleep is commonly measured via actigraphy. However, traditional actigraphy measured sleep (e.g., Sadeh algorithm) struggles to predict wake (i.e., specificity, values typically < 70) and cannot predict sleep stages. Long short-t... read more 

SCORE: Scene Context Matters in Open-Vocabulary Remote Sensing Instance Segmentation

arXiv Jul 17, 2025
Most existing remote sensing instance segmentation approaches are designed for close-vocabulary prediction, limiting their ability to recognize novel categories or generalize across datasets. This restricts their applicability in diverse Earth obse... read more 
Computer Vision and Pattern Recognition

Research on lung cancer diagnosis based on machine learning.

Technology and health care : official journal of the European Society for Engineering and Medicine Jul 17, 2025
BackgroundIn clinical diagnosis, determining the level of malignancy in tumors and differentiating between benign and malignant tumors are common classification challenges. Accurate and early diagnosis is essential for targeted treatment, and machine... read more 

Learning-Based Interface for Semantic Communication with Bit Importance Awareness

arXiv Jul 17, 2025
Joint source-channel coding (JSCC) is an effective approach for semantic communication. However, current JSCC methods are difficult to integrate with existing communication network architectures, where application and network providers are typicall... read more 
Information Theory Networking and Internet Architecture Information Theory
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