Artificial Intelligence Medical Compendium

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

Showing 3,171 to 3,180 of 168,416 articles

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use

arXiv Aug 6, 2025
The dream to create AI assistants as capable and versatile as the fictional J.A.R.V.I.S from Iron Man has long captivated imaginations. With the evolution of (multi-modal) large language models ((M)LLMs), this dream is closer to reality, as (M)LLM-... read more 
Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition Machine Learning

A Comprehensive Framework for Uncertainty Quantification of Voxel-wise Supervised Models in IVIM MRI

arXiv Aug 6, 2025
Accurate estimation of intravoxel incoherent motion (IVIM) parameters from diffusion-weighted MRI remains challenging due to the ill-posed nature of the inverse problem and high sensitivity to noise, particularly in the perfusion compartment. In th... read more 
Image and Video Processing Artificial Intelligence Machine Learning

Continual Multiple Instance Learning for Hematologic Disease Diagnosis

arXiv Aug 6, 2025
The dynamic environment of laboratories and clinics, with streams of data arriving on a daily basis, requires regular updates of trained machine learning models for consistent performance. Continual learning is supposed to help train models without... read more 
Machine Learning Computer Vision and Pattern Recognition Image and Video Processing Quantitative Methods

Artificial intelligence algorithms for differentiating pseudoprogression from true progression in high-grade gliomas: A systematic review and meta-analysis.

Neurosurgical review Aug 6, 2025
Differentiating pseudoprogression (PsP) from true progression (TP) in high-grade glioma (HGG) patients is still challenging and critical for effective treatment management. This meta-analysis evaluates the diagnostic accuracy of artificial intelligen... read more 
Humans Artificial Intelligence Disease Progression Glioma Neoplasm Grading Algorithms Brain Neoplasms

I$^3$-MRec: Invariant Learning with Information Bottleneck for Incomplete Modality Recommendation

arXiv Aug 6, 2025
Multimodal recommender systems (MRS) improve recommendation performance by integrating diverse semantic information from multiple modalities. However, the assumption of the availability of all modalities rarely holds in practice due to missing imag... read more 
Information Retrieval Multimedia H.3.3; H.5.1

Readability analysis of breast cancer resources shared on X-implications for patient education and the potential of AI.

Breast cancer research and treatment Aug 6, 2025
PURPOSE: Breast cancer remains a global public health burden. This study aimed to evaluate the readability of breast cancer articles shared on X (formerly Twitter) during Breast Cancer Awareness Month (October 2024), and it explores the possibility o... read more 

PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment

arXiv Aug 6, 2025
Coarse room layout estimation provides important geometric cues for many downstream tasks. Current state-of-the-art methods are predominantly based on single views and often assume panoramic images. We introduce PixCuboid, an optimization-based app... read more 
Computer Vision and Pattern Recognition I.4

Motion is the Choreographer: Learning Latent Pose Dynamics for Seamless Sign Language Generation

arXiv Aug 6, 2025
Sign language video generation requires producing natural signing motions with realistic appearances under precise semantic control, yet faces two critical challenges: excessive signer-specific data requirements and poor generalization. We propose ... read more 
Computer Vision and Pattern Recognition

Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation

arXiv Aug 6, 2025
In this paper, we propose new randomized algorithms for estimating the two-to-infinity and one-to-two norms in a matrix-free setting, using only matrix-vector multiplications. Our methods are based on appropriate modifications of Hutchinson's diago... read more 
Machine Learning Numerical Analysis Numerical Analysis Machine Learning 65F35

X-SAM: From Segment Anything to Any Segmentation

arXiv Aug 6, 2025
Large Language Models (LLMs) demonstrate strong capabilities in broad knowledge representation, yet they are inherently deficient in pixel-level perceptual understanding. Although the Segment Anything Model (SAM) represents a significant advancemen... read more 
Computer Vision and Pattern Recognition Artificial Intelligence
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