Artificial Intelligence Medical Compendium

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

Showing 54,481 to 54,490 of 226,183 articles

Artificial Intelligence and Its Application in Endodontics.

Dental clinics of North America
Artificial intelligence (AI) is an exciting technology that has the potential to transform endodontics. Recent advances include the application of AI to improve the detection and classification of anatomic structures and of endodontic disease, such a... read more 

Artificial Intelligence Applications in Periodontology: Enhancing Diagnosis, Monitoring, and Treatment in Clinical Practice.

Dental clinics of North America
While potentially revolutionary, the application of artificial intelligence (AI) in periodontology is in its early stages of development. AI tools hold promise in diagnosis, risk assessment and of progression, and treatment outcomes of periodontitis ... read more 

The Role of Complex Digital Interventions to Improve Pneumonia Care.

Clinics in chest medicine
Pneumonia clinical decision support (CDS) has evolved from simple paper-based guidelines to complex electronic systems powered by artificial intelligence. By harmonizing risk stratification, diagnostic testing, antibiotic selection and standardizing ... read more 

Zero-shot large vision-language model prompting for automated bone identification in paleoradiology x-ray archives

arXiv
Paleoradiology, the use of modern imaging technologies to study archaeological and anthropological remains, offers new windows on millennial scale patterns of human health. Unfortunately, the radiographs collected during field campaigns are heterogen... read more 

Test-Time Conditioning with Representation-Aligned Visual Features

arXiv
While representation alignment with self-supervised models has been shown to improve diffusion model training, its potential for enhancing inference-time conditioning remains largely unexplored. We introduce Representation-Aligned Guidance (REPA-G), ... read more 

RAWDet-7: A Multi-Scenario Benchmark for Object Detection and Description on Quantized RAW Images

arXiv
Most vision models are trained on RGB images processed through ISP pipelines optimized for human perception, which can discard sensor-level information useful for machine reasoning. RAW images preserve unprocessed scene data, enabling models to lever... read more 

FOVI: A biologically-inspired foveated interface for deep vision models

arXiv
Human vision is foveated, with variable resolution peaking at the center of a large field of view; this reflects an efficient trade-off for active sensing, allowing eye-movements to bring different parts of the world into focus with other parts of th... read more 

From Pre- to Intra-operative MRI: Predicting Brain Shift in Temporal Lobe Resection for Epilepsy Surgery

arXiv
Introduction: In neurosurgery, image-guided Neurosurgery Systems (IGNS) highly rely on preoperative brain magnetic resonance images (MRI) to assist surgeons in locating surgical targets and determining surgical paths. However, brain shift invalidates... read more 

Fast Sampling for Flows and Diffusions with Lazy and Point Mass Stochastic Interpolants

arXiv
Stochastic interpolants unify flows and diffusions, popular generative modeling frameworks. A primary hyperparameter in these methods is the interpolation schedule that determines how to bridge a standard Gaussian base measure to an arbitrary target ... read more 

Progressive Checkerboards for Autoregressive Multiscale Image Generation

arXiv
A key challenge in autoregressive image generation is to efficiently sample independent locations in parallel, while still modeling mutual dependencies with serial conditioning. Some recent works have addressed this by conditioning between scales in ... read more