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

对话 医学 计算机断层摄影术 人工智能 生成语法 人工智能应用 一致性(知识库) 放射科 计算机科学 心理学 沟通
作者
Michelle C. Williams,James Shambrook
出处
期刊:Journal of Cardiovascular Computed Tomography [Elsevier BV]
卷期号:17 (4): 281-283 被引量:9
标识
DOI:10.1016/j.jcct.2023.03.010
摘要

Artificial intelligence (AI) has the potential to transform healthcare, but its clinical use also has important challenges and limitations. Recently natural language processing and generative pre-training transformer (GPT) models have gained particular interest due to their ability to simulate human conversation. We aimed to explore output of the ChatGPT model (OpenAI, https://openai.com/blog/chatgpt) regarding current debates in cardiovascular CT. Prompts included debate questions from the Society of Cardiovascular Computed Tomography 2023 programme as well as questions about high risk plaque (HRP), quantitative plaque analysis, and how AI will transform cardiovascular CT. The AI model rapidly provided plausible responses including both pro and con sides of the argument. Advantages of AI for cardiovascular CT that were described by the AI model included improving image quality, speed of reporting, accuracy, and consistency. The AI model also acknowledged the importance for continued involvement of clinicians in patient care.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
CodeCraft应助科研通管家采纳,获得10
1秒前
充电宝应助科研通管家采纳,获得10
2秒前
Jasper应助科研通管家采纳,获得10
2秒前
赘婿应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
2秒前
fsfewug发布了新的文献求助10
2秒前
黄先生完成签到,获得积分10
2秒前
3秒前
火绒草完成签到,获得积分10
5秒前
zhangxun完成签到,获得积分10
5秒前
搞怪的世德完成签到,获得积分10
6秒前
mysee完成签到 ,获得积分10
7秒前
7秒前
8秒前
lee发布了新的文献求助10
9秒前
小蘑菇应助璇玑采纳,获得10
9秒前
Zoe完成签到 ,获得积分10
9秒前
xz发布了新的文献求助10
10秒前
14秒前
丘比特应助琦琦z采纳,获得10
14秒前
14秒前
刻苦莫言完成签到,获得积分10
16秒前
19秒前
王大D发布了新的文献求助20
20秒前
小羊发布了新的文献求助10
21秒前
Tacamily完成签到,获得积分10
21秒前
22秒前
科研小白完成签到,获得积分10
22秒前
牛马完成签到,获得积分10
23秒前
23秒前
耍酷高山完成签到,获得积分10
23秒前
完美世界应助清脆的沛容采纳,获得10
27秒前
Ppao7ii发布了新的文献求助10
30秒前
务实海豚发布了新的文献求助10
30秒前
31秒前
薄荷心完成签到 ,获得积分10
31秒前
32秒前
Lizzy完成签到,获得积分10
34秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Instituting Science: The Cultural Production of Scientific Disciplines 666
Signals, Systems, and Signal Processing 610
The Organization of knowledge in modern America, 1860-1920 / 600
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6360672
求助须知:如何正确求助?哪些是违规求助? 8174755
关于积分的说明 17219039
捐赠科研通 5415740
什么是DOI,文献DOI怎么找? 2866032
邀请新用户注册赠送积分活动 1843284
关于科研通互助平台的介绍 1691337