Artificial Intelligence Medical Compendium

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

Showing 3,961 to 3,970 of 172,715 articles

A systematic approach to study the effects of acquisition parameters and biological factors on computerized mammography analysis using ex vivo human tissue: A protocol description.

PloS one Aug 18, 2025
BACKGROUND: Mammography is the most common imaging modality for the detection of breast cancer. Artificial intelligence algorithms for mammography analysis have shown promising performance for breast cancer risk assessment and lesion detection and cl... read more 

Deep learning-based Alzheimer's disease detection using magnetic resonance imaging and gene expression data.

PloS one Aug 18, 2025
Alzheimer's disease (AD) poses significant challenges to healthcare systems across the globe. Early and accurate AD diagnosis is crucial for effective management and treatment. Recent advances in neuroimaging and genomics provide an opportunity for d... read more 

A stochastic agent-based model for simulating tumor-immune dynamics and evaluating therapeutic strategies

arXiv Aug 17, 2025
Tumor-immune interactions are central to cancer progression and treatment outcomes. In this study, we present a stochastic agent-based model that integrates cellular heterogeneity, spatial cell-cell interactions, and drug resistance evolution to si... read more 
Tissues and Organs Quantitative Methods

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana

arXiv Aug 17, 2025
The integration of Artificial Intelligence (AI) into healthcare systems in low-resource settings, such as Nepal and Ghana, presents transformative opportunities to improve personalized patient care, optimize resources, and address medical professio... read more 
Computers and Society

Defining and Benchmarking a Data-Centric Design Space for Brain Graph Construction

arXiv Aug 17, 2025
The construction of brain graphs from functional Magnetic Resonance Imaging (fMRI) data plays a crucial role in enabling graph machine learning for neuroimaging. However, current practices often rely on rigid pipelines that overlook critical data-c... read more 
Machine Learning Artificial Intelligence Neurons and Cognition

Segmenting Thalamic Nuclei: T1 Maps Provide a Reliable and Efficient Solution

arXiv Aug 17, 2025
Accurate thalamic nuclei segmentation is crucial for understanding neurological diseases, brain functions, and guiding clinical interventions. However, the optimal inputs for segmentation remain unclear. This study systematically evaluates multiple... read more 
Image and Video Processing Computer Vision and Pattern Recognition Quantitative Methods

Playing telephone with generative models: "verification disability," "compelled reliance," and accessibility in data visualization

arXiv Aug 17, 2025
This paper is a collaborative piece between two worlds of expertise in the field of data visualization: accessibility and bias. In particular, the rise of generative models playing a role in accessibility is a worrying trend for data visualization.... read more 
Human-Computer Interaction H.5.2; I.2.6; I.3.3; J.4; K.4.2; I.2.10

CryptPEFT: Efficient and Private Neural Network Inference via Parameter-Efficient Fine-Tuning

arXiv Aug 17, 2025
Publicly available large pretrained models (i.e., backbones) and lightweight adapters for parameter-efficient fine-tuning (PEFT) have become standard components in modern machine learning pipelines. However, preserving the privacy of both user inpu... read more 
Cryptography and Security

TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform

arXiv Aug 17, 2025
Autonomous driving platforms encounter diverse driving scenarios, each with varying hardware resources and precision requirements. Given the computational limitations of embedded devices, it is crucial to consider computing costs when deploying on ... read more 
Computer Vision and Pattern Recognition Artificial Intelligence Hardware Architecture Machine Learning

Controlling Copatterns: There and Back Again (Extended Version)

arXiv Aug 17, 2025
Copatterns give functional programs a flexible mechanism for responding to their context, and composition can greatly enhance their expressiveness. However, that same expressive power makes it harder to precisely specify the behavior of programs. U... read more 
Programming Languages D.3.3; F.3.2; F.3.3
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