Artificial Intelligence Medical Compendium

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

Showing 2,121 to 2,130 of 166,891 articles

ADSeeker: A Knowledge-Infused Framework for Anomaly Detection and Reasoning

arXiv
Automatic vision inspection holds significant importance in industry inspection. While multimodal large language models (MLLMs) exhibit strong language understanding capabilities and hold promise for this task, their performance remains significant... read more 

Hippocampal architecture viewed through the eyes of methodological development.

Anatomical science international
This review focuses on the structural organization of the hippocampus and how our understanding of its cellular architecture and functional circuits has been enabled over the last 400 years by the development of methods as varied as the Golgi impregn... read more 

Facilitating Visual Media Exploration for Blind and Low Vision Users through AI-Powered Interactive Storytelling

arXiv
Empowering blind and low vision (BLV) users to explore visual media improves content comprehension, strengthens user agency, and fulfills diverse information needs. However, most existing tools separate exploration from the main narration, which di... read more 

ChartCap: Mitigating Hallucination of Dense Chart Captioning

arXiv
Generating accurate, informative, and hallucination-free captions for charts remains challenging for vision language models, primarily due to the lack of large-scale, high-quality datasets of real-world charts. However, existing real-world chart da... read more 

Theatre in the Loop: A Rehearsal-Based, Collaborative Workflow for Expressive Robotic Behaviours

arXiv
In this paper, we propose theatre-in-the-loop, a framework for developing expressive robot behaviours tailored to artistic performance through a director-guided puppeteering workflow. Leveraging theatrical methods, we use narrative objectives to di... read more 

Evaluation of Net Withdrawal Time and Colonoscopy Video Summarization Using Deep Learning Based Automated Temporal Video Segmentation.

Journal of imaging informatics in medicine
Adequate withdrawal time is crucial in colonoscopy, as it is directly associated with polyp detection rates. However, traditional withdrawal time measurements can be biased by non-observation activities, leading to inaccurate assessments of procedura... read more 

Unifying Locality of KANs and Feature Drift Compensation for Data-free Continual Face Forgery Detection

arXiv
The rapid advancements in face forgery techniques necessitate that detectors continuously adapt to new forgery methods, thus situating face forgery detection within a continual learning paradigm. However, when detectors learn new forgery types, the... read more 

Machine learning enables legal risk assessment in internet healthcare using HIPAA data.

Scientific reports
This study explores how artificial intelligence technologies can enhance the regulatory capacity for legal risks in internet healthcare based on a machine learning (ML) analytical framework and utilizes data from the health insurance portability and ... read more 

Exploring Layer-wise Information Effectiveness for Post-Training Quantization in Small Language Models

arXiv
Large language models with billions of parameters are often over-provisioned: many layers contribute little unique information yet dominate the memory and energy footprint during inference. We present LieQ, a metric-driven post-training quantizatio... read more