Artificial Intelligence Medical Compendium

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

Showing 3,931 to 3,940 of 172,494 articles

DashCam Video: A complementary low-cost data stream for on-demand forest-infrastructure system monitoring

arXiv
Our study introduces a novel, low-cost, and reproducible framework for real-time, object-level structural assessment and geolocation of roadside vegetation and infrastructure with commonly available but underutilized dashboard camera (dashcam) vide... read more 

PTSM: Physiology-aware and Task-invariant Spatio-temporal Modeling for Cross-Subject EEG Decoding

arXiv
Cross-subject electroencephalography (EEG) decoding remains a fundamental challenge in brain-computer interface (BCI) research due to substantial inter-subject variability and the scarcity of subject-invariant representations. This paper proposed P... read more 

Visuomotor Grasping with World Models for Surgical Robots

arXiv
Grasping is a fundamental task in robot-assisted surgery (RAS), and automating it can reduce surgeon workload while enhancing efficiency, safety, and consistency beyond teleoperated systems. Most prior approaches rely on explicit object pose tracki... read more 

Does the Skeleton-Recall Loss Really Work?

arXiv
Image segmentation is an important and widely performed task in computer vision. Accomplishing effective image segmentation in diverse settings often requires custom model architectures and loss functions. A set of models that specialize in segment... read more 

SelfAdapt: Unsupervised Domain Adaptation of Cell Segmentation Models

arXiv
Deep neural networks have become the go-to method for biomedical instance segmentation. Generalist models like Cellpose demonstrate state-of-the-art performance across diverse cellular data, though their effectiveness often degrades on domains that... read more 

Investigating Sensors and Methods in Grasp State Classification in Agricultural Manipulation

arXiv
Effective and efficient agricultural manipulation and harvesting depend on accurately understanding the current state of the grasp. The agricultural environment presents unique challenges due to its complexity, clutter, and occlusion. Additionally,... read more 

Language models align with brain regions that represent concepts across modalities

arXiv
Cognitive science and neuroscience have long faced the challenge of disentangling representations of language from representations of conceptual meaning. As the same problem arises in today's language models (LMs), we investigate the relationship b... read more 

Handwritten Text Recognition of Historical Manuscripts Using Transformer-Based Models

arXiv
Historical handwritten text recognition (HTR) is essential for unlocking the cultural and scholarly value of archival documents, yet digitization is often hindered by scarce transcriptions, linguistic variation, and highly diverse handwriting style... read more 

G-CUT3R: Guided 3D Reconstruction with Camera and Depth Prior Integration

arXiv
We introduce G-CUT3R, a novel feed-forward approach for guided 3D scene reconstruction that enhances the CUT3R model by integrating prior information. Unlike existing feed-forward methods that rely solely on input images, our method leverages auxil... read more 

HistoViT: Vision Transformer for Accurate and Scalable Histopathological Cancer Diagnosis

arXiv
Accurate and scalable cancer diagnosis remains a critical challenge in modern pathology, particularly for malignancies such as breast, prostate, bone, and cervical, which exhibit complex histological variability. In this study, we propose a transfo... read more