Artificial Intelligence Medical Compendium

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

Showing 3,501 to 3,510 of 168,679 articles

Dual Prompt Learning for Adapting Vision-Language Models to Downstream Image-Text Retrieval

arXiv Aug 6, 2025
Recently, prompt learning has demonstrated remarkable success in adapting pre-trained Vision-Language Models (VLMs) to various downstream tasks such as image classification. However, its application to the downstream Image-Text Retrieval (ITR) task... read more 
Computer Vision and Pattern Recognition Information Retrieval

In-depth bioinformatics analysis uncovers the crosstalk genes and immune interactions among diagnostic markers linked to natural killer cells in patients with cirrhosis and sepsis.

Clinical and experimental medicine Aug 6, 2025
Patients with cirrhosis face an elevated risk of developing sepsis, leading to an escalating mortality rate. This study focuses on the link between natural killer (NK) cells, cirrhosis, and sepsis. Our goal is to identify NK cell-related genes that c... read more 
Gene Expression Profiling Sepsis ROC Curve Humans Biomarkers Liver Cirrhosis Databases, Genetic Killer Cells, Natural Gene Regulatory Networks Computational Biology

FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data

arXiv Aug 6, 2025
LLM-powered conversational assistants are often deployed in a one-size-fits-all manner, which fails to accommodate individual user preferences. Recently, LLM personalization -- tailoring models to align with specific user preferences -- has gained ... read more 
Computation and Language

TAlignDiff: Automatic Tooth Alignment assisted by Diffusion-based Transformation Learning

arXiv Aug 6, 2025
Orthodontic treatment hinges on tooth alignment, which significantly affects occlusal function, facial aesthetics, and patients' quality of life. Current deep learning approaches predominantly concentrate on predicting transformation matrices throu... read more 
Computer Vision and Pattern Recognition

Transductive zero-shot learning via knowledge graph and graph convolutional networks.

Scientific reports Aug 6, 2025
Zero-shot learning methods are used to recognize objects of unseen categories. By transferring knowledge from the seen classes to describe the unseen classes, deep learning models can recognize unseen categories. However, relying solely on a small la... read more 

Neural Synchrony and Consumer Behavior: Predicting Friends' Behavior in Real-World Social Networks.

The Journal of neuroscience : the official journal of the Society for Neuroscience Aug 6, 2025
The endogenous aspect of social influence, reflected in the spontaneous alignment of behaviors within close social relationships, plays a crucial role in understanding human social behavior. In two studies involving 222 human subjects (Study 1:  = 17... read more 
Young Adult Adult Brain Female Longitudinal Studies Magnetic Resonance Imaging Brain Mapping Male Adolescent Humans Friends Social Networking Consumer Behavior Social Behavior

OpenDCVCs: A PyTorch Open Source Implementation and Performance Evaluation of the DCVC series Video Codecs

arXiv Aug 6, 2025
We present OpenDCVCs, an open-source PyTorch implementation designed to advance reproducible research in learned video compression. OpenDCVCs provides unified and training-ready implementations of four representative Deep Contextual Video Compressi... read more 
Image and Video Processing Computer Vision and Pattern Recognition

The 3.5-Inch View-On Perspective and the Medical Profession.

JAMA cardiology Aug 6, 2025
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Revolutionizing clinical decision making through deep learning and topic modeling for pathway optimization.

Scientific reports Aug 6, 2025
Optimizing clinical pathways is pivotal for enhancing healthcare delivery, yet traditional methods are increasingly insufficient in the face of complex, personalized medical demands. This paper introduces an innovative optimization framework that fus... read more 
Humans Deep Learning Clinical Decision-Making Delivery of Health Care Critical Pathways

Unlocking the Potential of MLLMs in Referring Expression Segmentation via a Light-weight Mask Decode

arXiv Aug 6, 2025
Reference Expression Segmentation (RES) aims to segment image regions specified by referring expressions and has become popular with the rise of multimodal large models (MLLMs). While MLLMs excel in semantic understanding, their token-generation pa... read more 
Computer Vision and Pattern Recognition Artificial Intelligence
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