A Counterblast to Pessimists and Naysayers – Intelligent Echocardiography Remains the Foundation Stone of Evidence-Based Clinical Cardiology

Author:

Fraser Alan G1ORCID

Affiliation:

1. Consultant Cardiologist, University Hospital of Wales, and Emeritus Professor of Cardiology, School of Medicine, Cardiff University, Heath Park , Cardiff , U.K.

Abstract

Abstract Provocative comments can entertain and instruct as long as they are used to stimulate a civilized discussion, and it is fun to embrace an opportunity to change one’s mind (and learn). I am therefore delighted to respond to Adrian Ionescu’s comments, although I think he has got it wrong—as I will aim to demonstrate. In the spirit of this debate, please indulge me while I too let off some steam! I have always disliked the fact that one of the subspecialties within cardiology, which did not exist when I qualified in the 1970s, has come to be known as “cardiac imaging.” Cardiac diagnosis is not about pictures, although some conditions are indeed instantly recognizable. Usually, what we need to know to understand disease is how the heart is functioning, much more than what it looks like. That is true for coronary arteriography as much as for non-invasive imaging. If I am forced to adopt a subspeciality label, then I would much prefer to be considered a clinical pathophysiologist. Accurate diagnosis is the sine qua non of logical evidence-based clinical practice, yet we often get it wrong. And there remain many patients with disease that we cannot diagnose precisely because we do not understand it sufficiently. Why does this patient with heart failure with reduced ejection fraction have impaired left ventricular function? Why does that patient with normal blood pressure have left ventricular hypertrophy? In this patient in sinus rhythm, which particular aspects of cardiovascular function will influence the development of dementia? Cardiologists who are expert in performing, analyzing, and interpreting detailed echocardiographic and cardiovascular investigations are needed to give us the best chance of answering such questions. They cannot be replaced by an uninterpretable computer algorithm when no-one yet knows the answer—but by staying in control, researchers can use artificial intelligence (AI) to help their thinking.

Publisher

Walter de Gruyter GmbH

Subject

Cardiology and Cardiovascular Medicine

Reference11 articles.

1. Faes L, Sim DA, van Smeden M, Held U, Bossuyt PM, Bachmann LM. Artificial intelligence and statistics: just the old wine in new wineskins? Front Digit Health. 2022; 4: 833912.

2. Bishop JM. Artificial intelligence is stupid and causal reasoning will not fix it. Front Psychol. 2021; 11: 2603. www.frontiersin.org/article/10.3389/fpsyg.2020.513474

3. World Health Organization. Ethics and governance of artificial intelligence for health. WHO Guidance, Geneva 2021. https://www.who.int/publications/i/item/9789240037403

4. European Commission, Medical Device Coordination Group. MDCG 2019-11 Guidance on qualification and classification of software in Regulation (EU) 2017/745 – MDR and Regulation (EU) 2017/746 – IVDR. October 2019. https://health.ec.europa.eu/system/files/2020-09/md_mdcg_2019_11_guidance_qualification_classification_software_en_0.pdf

5. Fraser AG, Biasin E, Bijnens B, Bruining N, Caiani EG, Cobbaert K, Davies RH, Gilbert SH, Hovestadt L, Kamenjasevic E, Kwade Z, McGauran G, O’Connor G, Vasey B, Rademakers FE. Artificial intelligence in medical device software and high-risk medical devices - A review of definitions, expert recommendations and regulatory initiatives. Expert Rev Med Devices. 2023; 20: 467–491.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3