AIMC Topic: Radiology
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AI in radiology: From promise to practice - A guide to effective integration.
European journal of radiology
Oct 20, 2024
While Artificial Intelligence (AI) has the potential to transform the field of diagnostic radiology, important obstacles still inhibit its integration into clinical environments. Foremost among them is the inability to integrate clinical information ...
Medical imaging and radiation science students' use of artificial intelligence for learning and assessment.
Radiography (London, England : 1995)
Oct 19, 2024
INTRODUCTION: Artificial intelligence has permeated all aspects of our existence, and medical imaging has shown the burgeoning use of artificial intelligence in clinical environments. However, there are limited empirical studies on radiography studen...
A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most Difficult.
Journal of imaging informatics in medicine
Oct 15, 2024
This study aims to investigate whether global mammographic radiomic features (GMRFs) can distinguish hardest- from easiest-to-interpret normal cases for radiology trainees (RTs). Data from 137 RTs were analysed, with each interpreting seven education...
Large Language Models can Help with Biostatistics and Coding Needed in Radiology Research.
Academic radiology
Oct 15, 2024
INTRODUCTION: Original research in radiology often involves handling large datasets, data manipulation, statistical tests, and coding. Recent studies show that large language models (LLMs) can solve bioinformatics tasks, suggesting their potential in...
Paranoid About Androids: A Review of Robotics in Radiology.
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Oct 12, 2024
In tandem with the ever-increasing global population, the demand for diagnostic radiology service provision is on the rise and at a disproportionate rate compared to the number of radiologists available to practice. The current "revolution in robotic...
Exploring the integration of artificial intelligence in radiology education: A scoping review.
Current problems in diagnostic radiology
Oct 5, 2024
BACKGROUND: The integration of Artificial Intelligence (AI) into radiology education presents a transformative opportunity to enhance learning and practice within the field. This scoping review aims to systematically explore and map the current lands...
[Artificial intelligence in radiology : From the Gartner Hype Cycle to Amara's Law].
Radiologie (Heidelberg, Germany)
Sep 24, 2024
The legal regulation of artificial intelligence in the European Union: A practical guide for radiologists.
Radiologia
Sep 24, 2024
The European Union is taking the lead globally on the regulation of Artificial Intelligence (AI) and developing important legislation, namely the AI Act. The purpose of this article is to describe this regulation and examine three implications that w...
Opportunity and Opportunism in Artificial Intelligence-Powered Data Extraction: A Value-Centered Approach.
AJR. American journal of roentgenology
Sep 18, 2024
Radiologists' traditional role in the diagnostic process is to respond to specific clinical questions and reduce uncertainty enough to permit treatment decisions to be made. This charge is rapidly evolving due to forces such as artificial intelligenc...
ChatGPT and Large Language Models in Radiology: Perspectives From the Field.
AJR. American journal of roentgenology
Sep 18, 2024
Generative artificial intelligence (AI) and large language models (LLMs) are increasingly being recognized as tools with the potential to transform many industries, including health care. Implementation and use of these tools among radiologists is li...
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