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Related Experiment Video

Updated: Aug 3, 2025

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation

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Published on: June 3, 2018

How will artificial intelligence transform cardiovascular computed tomography? A conversation with an AI model.

Michelle C Williams¹, James Shambrook²

¹British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.

Journal of Cardiovascular Computed Tomography

|April 9, 2023

Summary

Artificial intelligence (AI) can enhance cardiovascular CT by improving image quality and reporting speed. However, the study highlights the need for continued clinician involvement in patient care.

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Area of Science:

Cardiovascular Imaging and Artificial Intelligence

Background:

Artificial intelligence (AI) shows promise in healthcare, with natural language processing and generative pre-training transformer (GPT) models gaining attention for conversational abilities.
The clinical integration of AI in healthcare faces challenges and limitations.

Purpose of the Study:

To evaluate ChatGPT's responses on current debates in cardiovascular CT.
To explore AI's potential impact on high-risk plaque analysis and quantitative plaque assessment.

Main Methods:

Utilizing prompts based on the Society of Cardiovascular Computed Tomography 2023 program debates.
Querying ChatGPT on topics including high-risk plaque, quantitative plaque analysis, and AI's future in cardiovascular CT.

Main Results:

ChatGPT generated rapid, plausible responses, presenting both advantages and disadvantages of AI in cardiovascular CT.
Identified benefits include enhanced image quality, faster reporting, and improved accuracy and consistency.
The AI model recognized the necessity of ongoing clinician involvement.

Conclusions:

AI, exemplified by ChatGPT, offers significant potential to advance cardiovascular CT applications.
Addressing challenges and ensuring clinician collaboration are crucial for successful AI implementation in cardiovascular CT.