Artificial Intelligence Medical Compendium

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

Showing 2,221 to 2,230 of 166,891 articles

Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval

arXiv
In cross-modal retrieval tasks, such as image-to-report and report-to-image retrieval, accurately aligning medical images with relevant text reports is essential but challenging due to the inherent ambiguity and variability in medical data. Existin... read more 

Open-Vocabulary HOI Detection with Interaction-aware Prompt and Concept Calibration

arXiv
Open Vocabulary Human-Object Interaction (HOI) detection aims to detect interactions between humans and objects while generalizing to novel interaction classes beyond the training set. Current methods often rely on Vision and Language Models (VLMs)... read more 

ChartCap: Mitigating Hallucination of Dense Chart Captioning

arXiv
Generating accurate, informative, and hallucination-free captions for charts remains challenging for vision language models, primarily due to the lack of large-scale, high-quality datasets of real-world charts. However, existing real-world chart da... read more 

Sex differences in white matter amplitude of low-frequency fluctuation associated with cognitive performance across the Alzheimer's disease continuum.

Journal of Alzheimer's disease : JAD
BackgroundSex differences in Alzheimer's disease (AD) progression offer insights into pathogenesis and clinical management. White matter (WM) amplitude of low-frequency fluctuation (ALFF), reflecting neural activity, represents a potential disease bi... read more 

FedPromo: Federated Lightweight Proxy Models at the Edge Bring New Domains to Foundation Models

arXiv
Federated Learning (FL) is an established paradigm for training deep learning models on decentralized data. However, as the size of the models grows, conventional FL approaches often require significant computational resources on client devices, wh... read more 

DP-NCB: Privacy Preserving Fair Bandits

arXiv
Multi-armed bandit algorithms are fundamental tools for sequential decision-making under uncertainty, with widespread applications across domains such as clinical trials and personalized decision-making. As bandit algorithms are increasingly deploy... read more 

When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models

arXiv
While prior research on text-to-image generation has predominantly focused on biases in human depictions, we investigate a more subtle yet pervasive phenomenon: demographic bias in generated objects (e.g., cars). We introduce SODA (Stereotyped Obje... read more 

Subsecond Analysis of Locomotor Activity in Parkinsonian Mice.

eNeuro
The degeneration of midbrain dopamine (DA) neurons disrupts the neural control of natural behavior, such as walking, posture, and gait in Parkinson's disease. While some aspects of motor symptoms can be managed by DA replacement therapies, others res... read more 

Development and Validation of DIANA (Diabetes Novel Subgroup Assessment tool): A web-based precision medicine tool to determine type 2 diabetes endotype membership and predict individuals at risk of microvascular disease.

PLOS digital health
BACKGROUND: Previous research has identified four distinct endotypes of type 2 diabetes in Asian Indians, which include Severe Insulin Deficient Diabetes (SIDD), Combined Insulin Resistant and Deficient Diabetes (CIRDD), Insulin Resistance and Obese ... read more 

The assessment of ChatGPT-4's performance compared to expert's consensus on chronic lateral ankle instability.

Journal of experimental orthopaedics
PURPOSE: To evaluate the accuracy of answers to clinical questions on the surgical treatment of chronic lateral ankle instability (CLAI) using ChatGPT-4 as a reference for consensus statements developed by the ESSKA-AFAS Ankle Instability Group (AIG)... read more