Artificial Intelligence Medical Compendium

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

Showing 2,841 to 2,850 of 168,134 articles

Segmenting Whole-Body MRI and CT for Multiorgan Anatomic Structure Delineation.

Radiology. Artificial intelligence Aug 6, 2025
Purpose To develop and validate MRSegmentator, a retrospective cross-modality deep learning model for multiorgan segmentation of MRI scans. Materials and Methods This retrospective study trained MRSegmentator on 1,200 manually annotated UK Biobank D... read more 

Adaptive resetting for informed search strategies and the design of non-equilibrium steady-states.

Nature communications Aug 6, 2025
Stochastic resetting, the procedure of stopping and re-initializing random processes, has recently emerged as a powerful tool for accelerating processes ranging from queuing systems to molecular simulations. However, its usefulness is severely limite... read more 

Pyramidal attention-based T network for brain tumor classification: a comprehensive analysis of transfer learning approaches for clinically reliable and reliable AI hybrid approaches.

Scientific reports Aug 6, 2025
Brain tumors are a significant challenge to human health as they impair the proper functioning of the brain and the general quality of life, thus requiring clinical intervention through early and accurate diagnosis. Although current state-of-the-art ... read more 
Humans Neural Networks, Computer Glioma Magnetic Resonance Imaging Brain Neoplasms Deep Learning Meningioma

MienCap: Realtime Performance-Based Facial Animation with Live Mood Dynamics

arXiv Aug 6, 2025
Our purpose is to improve performance-based animation which can drive believable 3D stylized characters that are truly perceptual. By combining traditional blendshape animation techniques with multiple machine learning models, we present both non-r... read more 
Graphics Computer Vision and Pattern Recognition I.3.2; I.4.10

Think Before You Segment: An Object-aware Reasoning Agent for Referring Audio-Visual Segmentation

arXiv Aug 6, 2025
Referring Audio-Visual Segmentation (Ref-AVS) aims to segment target objects in audible videos based on given reference expressions. Prior works typically rely on learning latent embeddings via multimodal fusion to prompt a tunable SAM/SAM2 decoder... read more 
Multimedia Computer Vision and Pattern Recognition Multiagent Systems Sound Audio and Speech Processing

A Systematic Review on Effect of Bifidobacterium Isolated from Skin Microbiota on GLP-1 Production to Alleviate Human Ailments.

Probiotics and antimicrobial proteins Aug 6, 2025
The skin, a complex ecosystem, hosts diverse microorganisms that interact with the immune system and influence physiological processes. This study investigates the effects of Bifidobacterium, isolated from skin microbiota, on glucagon-like peptide-1 ... read more 

Position: The Current AI Conference Model is Unsustainable! Diagnosing the Crisis of Centralized AI Conference

arXiv Aug 6, 2025
Artificial Intelligence (AI) conferences are essential for advancing research, sharing knowledge, and fostering academic community. However, their rapid expansion has rendered the centralized conference model increasingly unsustainable. This paper ... read more 
Computers and Society Artificial Intelligence Computation and Language

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation

arXiv Aug 6, 2025
In the semantic segmentation of remote sensing images, acquiring complete ground objects is critical for achieving precise analysis. However, this task is severely hindered by two major challenges: high intra-class variance and high inter-class sim... read more 
Computer Vision and Pattern Recognition Information Retrieval

Developing personalized algorithms for sensing mental health symptoms in daily life.

Npj mental health research Aug 6, 2025
The integration of artificial intelligence (AI) and pervasive computing offers new opportunities to sense mental health symptoms and deliver just-in-time adaptive interventions via mobile devices. This pilot study tested personalized versus generaliz... read more 

The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer.

BMC gastroenterology Aug 6, 2025
PURPOSE: To develop and validate a hybrid radiomics model to predict the overall survival in pancreatic cancer patients and identify risk factors that affect patient prognosis. read more 
Middle Aged Contrast Media Aged Retrospective Studies Pancreatic Neoplasms Male Tomography, X-Ray Computed Proportional Hazards Models Female Magnetic Resonance Imaging Humans Risk Factors Multimodal Imaging Prognosis
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