Artificial Intelligence Medical Compendium

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

Showing 3,941 to 3,950 of 172,494 articles

Feedback Indicators: The Alignment between Llama and a Teacher in Language Learning

arXiv Aug 15, 2025
Automated feedback generation has the potential to enhance students' learning progress by providing timely and targeted feedback. Moreover, it can assist teachers in optimizing their time, allowing them to focus on more strategic and personalized a... read more 
Computation and Language

Investigating Sensors and Methods in Grasp State Classification in Agricultural Manipulation

arXiv Aug 15, 2025
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 
Robotics Machine Learning

Model Interpretability and Rationale Extraction by Input Mask Optimization

arXiv Aug 15, 2025
Concurrent to the rapid progress in the development of neural-network based models in areas like natural language processing and computer vision, the need for creating explanations for the predictions of these black-box models has risen steadily. W... read more 
Computation and Language Computer Vision and Pattern Recognition Machine Learning

Activate Me!: Designing Efficient Activation Functions for Privacy-Preserving Machine Learning with Fully Homomorphic Encryption

arXiv Aug 15, 2025
The growing adoption of machine learning in sensitive areas such as healthcare and defense introduces significant privacy and security challenges. These domains demand robust data protection, as models depend on large volumes of sensitive informati... read more 
Cryptography and Security

Cost-Effective Active Labeling for Data-Efficient Cervical Cell Classification

arXiv Aug 15, 2025
Information on the number and category of cervical cells is crucial for the diagnosis of cervical cancer. However, existing classification methods capable of automatically measuring this information require the training dataset to be representative... read more 
Computer Vision and Pattern Recognition Tissues and Organs

OpenConstruction: A Systematic Synthesis of Open Visual Datasets for Data-Centric Artificial Intelligence in Construction Monitoring

arXiv Aug 15, 2025
The construction industry increasingly relies on visual data to support Artificial Intelligence (AI) and Machine Learning (ML) applications for site monitoring. High-quality, domain-specific datasets, comprising images, videos, and point clouds, ca... read more 
Computer Vision and Pattern Recognition

Probing the Representational Power of Sparse Autoencoders in Vision Models

arXiv Aug 15, 2025
Sparse Autoencoders (SAEs) have emerged as a popular tool for interpreting the hidden states of large language models (LLMs). By learning to reconstruct activations from a sparse bottleneck layer, SAEs discover interpretable features from the high-... read more 
Computer Vision and Pattern Recognition Machine Learning

An Efficient Medical Image Classification Method Based on a Lightweight Improved ConvNeXt-Tiny Architecture

arXiv Aug 15, 2025
Intelligent analysis of medical imaging plays a crucial role in assisting clinical diagnosis. However, achieving efficient and high-accuracy image classification in resource-constrained computational environments remains challenging. This study pro... read more 
Computer Vision and Pattern Recognition Machine Learning

Language models align with brain regions that represent concepts across modalities

arXiv Aug 15, 2025
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 
Computation and Language

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels

arXiv Aug 15, 2025
Multi-view learning is widely applied to real-life datasets, such as multiple omics biological data, but it often suffers from both missing views and missing labels. Prior probabilistic approaches addressed the missing view problem by using a produ... read more 
Machine Learning Artificial Intelligence
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