Artificial Intelligence Medical Compendium

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

Showing 10,021 to 10,030 of 208,614 articles

Can Retrieval Heads See Images? Multimodal Retrieval Heads in Long-Context Vision-Language Models

arXiv
Large vision-language models increasingly rely on long-context modeling to reason over documents, hour-level videos, and long-horizon agent trajectories, requiring them to locate relevant evidence across interleaved text and images. Prior work has st... read more 

A Dynamic Programming Framework for Discovering Count and Values of Multilevel Image Thresholding

arXiv
Multilevel Image thresholding is an important preprocessing algorithm in computer vision applications nowadays. Since most common thresholding methods take the desired count of thresholds as input by the user, thresholding methods that automatically ... read more 

PICO-like prompts for clinical pharmacy in generative artificial intelligence.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
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Self-Reported Health Outcomes in Metabolic Health YouTube Comments: Cross-Sectional Study and Rule-Based Natural Language Processing Framework Development and Validation.

Journal of medical Internet research
BACKGROUND: YouTube is increasingly used for healthcasting, the sharing of evidence-based dietary and lifestyle interventions by domain experts. In the metabolic health domain, channels focused on therapeutic carbohydrate restriction have accumulated... read more 

Feasibility of nonspinal bony landmark-based image registration in CyberKnife ® robotic radiotherapy for pelvic and femoral bone tumors.

Journal of radiation research
In stereotactic body radiotherapy for bone metastases using the CyberKnife system, spinal anatomy is generally employed as the alignment reference. However, when treating pelvic tumors such as those in the pubic bone or proximal femur, the spinal ref... read more 

A Multimodal Framework for Dementia Detection via Linguistic and Acoustic Representation Learning

arXiv
Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the leading cause of dementia, affecting memory, reasoning, communication, and daily functioning. Early diagnosis is particularly important, as timely intervention may help slow... read more 

Are We Overconfident in Models and Results for Semi-Supervised 3D Medical Image Segmentation?

arXiv
Semi-supervised learning has become a dominant paradigm for reducing annotation costs. However, we argue that the current progress is clouded by a twofold overconfidence problem. Algorithmically, mainstream pseudo-labeling frameworks often conflate p... read more 

Rethinking Scribble-Guided Image Editing: Generalization, Instruction Adherence, and Multi-Tasking

arXiv
Scribble-guided image editing allows users to combine simple scribble annotations with text prompts to specify both where and how an image should be edited, enabling flexible interaction with precise spatial control. However, existing models still ex... read more 

ControlLight: Towards Controllable, Consistent, and Generalizable Low-Light Enhancement

arXiv
Existing deep learning-based low-light enhancement methods are typically trained on limited datasets with single enhancement targets, which restricts their generalization ability and controllability in real-world applications. To overcome these limit... read more