AI Medical Compendium Topic

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

Radiology

Showing 161 to 170 of 773 articles

Clear Filters

Improving radiology workflow using ChatGPT and artificial intelligence.

Clinical imaging
Artificial Intelligence is a branch of computer science that aims to create intelligent machines capable of performing tasks that typically require human intelligence. One of the branches of artificial intelligence is natural language processing, whi...

Artificial Intelligence in Oncological Hybrid Imaging.

Nuklearmedizin. Nuclear medicine
BACKGROUND:  Artificial intelligence (AI) applications have become increasingly relevant across a broad spectrum of settings in medical imaging. Due to the large amount of imaging data that is generated in oncological hybrid imaging, AI applications ...

Potential Applications and Impact of ChatGPT in Radiology.

Academic radiology
Radiology has always gone hand-in-hand with technology and artificial intelligence (AI) is not new to the field. While various AI devices and algorithms have already been integrated in the daily clinical practice of radiology, with applications rangi...

Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions.

Diagnostic and interventional radiology (Ankara, Turkey)
With the advent of large language models (LLMs), the artificial intelligence revolution in medicine and radiology is now more tangible than ever. Every day, an increasingly large number of articles are published that utilize LLMs in radiology. To ado...

Approaches and Limitations of Machine Learning for Synthetic Ultrasound Generation: A Scoping Review.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
This scoping review examines the emerging field of synthetic ultrasound generation using machine learning (ML) models in radiology. Nineteen studies were analyzed, revealing three primary methodological strategies: unconditional generation, condition...

Artificial Intelligence to Improve Patient Understanding of Radiology Reports.

The Yale journal of biology and medicine
Diagnostic imaging reports are generally written with a target audience of other providers. As a result, the reports are written with medical jargon and technical detail to ensure accurate communication. With implementation of the 21st Century Cures ...

AC-Faster R-CNN: an improved detection architecture with high precision and sensitivity for abnormality in spine x-ray images.

Physics in medicine and biology
In clinical medicine, localization and identification of disease on spinal radiographs are difficult and require a high level of expertise in the radiological discipline and extensive clinical experience. The model based on deep learning acquires cer...