Artificial Intelligence Medical Compendium

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

Showing 53,141 to 53,150 of 225,548 articles

Sequential glioblastoma segmentation via topological data analysis and spatial adjacency.

Biomedical physics & engineering express Feb 6, 2026
Segmenting glioblastoma in medical imaging remains challenging due to the tumor's irregular shape, heterogeneous texture, and poorly defined boundaries, which often lead to inaccurate delineation by conventional methods. To address these challenges, ... read more 

[Advances in frontier technologies and innovative applications for the prevention and control of hospital infections associated with multidrug-resistant bacteria].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine] Feb 6, 2026
Hospital-acquired infections (HAIs) significantly increase patient mortality and healthcare burden, with multidrug-resistant organisms (MDROs) exacerbating the challenge through diverse transmission routes, posing a global public health threat. Tradi... read more 

Theoretical and applied research on spatio-temporal graph attention networks for single-trial P300 detection.

Journal of neural engineering Feb 6, 2026
Objective.Accurate detection of single-trial P300 ERPs (event-related potentials) is crucial for developing high-performance non-invasive BCIs (brain-computer interfaces). However, this task remains challenging because of the low (signal-to-noise rat... read more 

Self-induced large pitch artificial muscles with giant stroke for soft robotic applications.

Bioinspiration & biomimetics Feb 6, 2026
Achieving large initial coil pitches and contractile strokes in twisted and coiled polymer artificial muscles often requires complex and multi-step fabrication processes. We present a self-induced large-pitch (SLiP) method for producing polymer muscl... read more 

MPIB: A Benchmark for Medical Prompt Injection Attacks and Clinical Safety in LLMs

arXiv Feb 6, 2026
Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems are increasingly integrated into clinical workflows; however, prompt injection attacks can steer these systems toward clinically unsafe or misleading outputs. We introduce ... read more 
Computation and Language cs.LG

An Interpretable Vision Transformer as a Fingerprint-Based Diagnostic Aid for Kabuki and Wiedemann-Steiner Syndromes

arXiv Feb 6, 2026
Kabuki syndrome (KS) and Wiedemann-Steiner syndrome (WSS) are rare but distinct developmental disorders that share overlapping clinical features, including neurodevelopmental delay, growth restriction, and persistent fetal fingertip pads. While genet... read more 
Computer Vision and Pattern Recognition q-bio.QM

Unsupervised MRI-US Multimodal Image Registration with Multilevel Correlation Pyramidal Optimization

arXiv Feb 6, 2026
Surgical navigation based on multimodal image registration has played a significant role in providing intraoperative guidance to surgeons by showing the relative position of the target area to critical anatomical structures during surgery. However, d... read more 
Computer Vision and Pattern Recognition

Zero-shot Multi-Contrast Brain MRI Registration by Intensity Randomizing T1-weighted MRI (LUMIR25)

arXiv Feb 6, 2026
In this paper, we summarize the methods and results of our submission to the LUMIR25 challenge in Learn2Reg 2025, which achieved 1st place overall on the test set. Extended from LUMIR24, this year's task focuses on zero-shot registration under domain... read more 
Image and Video Processing cs.CV

Accelerating Vision Transformers on Brain Processing Unit

arXiv Feb 6, 2026
With the advancement of deep learning technologies, specialized neural processing hardware such as Brain Processing Units (BPUs) have emerged as dedicated platforms for CNN acceleration, offering optimized INT8 computation capabilities for convolutio... read more 
Computer Vision and Pattern Recognition cs.AI

SPDA-SAM: A Self-prompted Depth-Aware Segment Anything Model for Instance Segmentation

arXiv Feb 6, 2026
Recently, Segment Anything Model (SAM) has demonstrated strong generalizability in various instance segmentation tasks. However, its performance is severely dependent on the quality of manual prompts. In addition, the RGB images that instance segment... read more 
Computer Vision and Pattern Recognition
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