Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

被引：87

作者：

van Smeden, Maarten ^{[1
]}

Heinze, Georg ^{[2
]}

Van Calster, Ben ^{[3
,4
,5
]}

Asselbergs, Folkert W. ^{[6
,7
,8
,9
]}

Vardas, Panos E. ^{[10
,11
]}

Bruining, Nico ^{[12
]}

de Jaegere, Peter ^{[12
]}

Moore, Jason H. ^{[13
]}

Denaxas, Spiros ^{[8
,9
,14
]}

Boulesteix, Anne-Laure ^{[15
]}

Moons, Karel G. M. ^{[1
]}

机构：

[1] Univ Utrecht, Univ Med Ctr Utrecht, Julius Ctr Hlth Sci & Primary Care, Univ Weg 100, NL-3584 CG Utrecht, Netherlands

[2] Med Univ Vienna, Sect Clin Biometr, Ctr Med Stat Informat & Intelligent Syst, Vienna, Austria

[3] Katholieke Univ Leuven, Dept Dev & Regenerat, Leuven, Belgium

[4] Katholieke Univ Leuven, EPI Ctr, Leuven, Belgium

[5] Leiden Univ, Dept Biomed Data Sci, Med Ctr, Leiden, Netherlands

[6] Univ Utrecht, Univ Med Ctr Utrecht, Div Heart & Lungs, Dept Cardiol, Utrecht, Netherlands

[7] UCL, Inst Cardiovasc Sci, Fac Populat Hlth Sci, London, England

[8] UCL, Hlth Data Res UK, London, England

[9] UCL, Inst Hlth Informat, London, England

[10] Herakl Univ Hosp, Dept Cardiol, Iraklion, Greece

[11] Hygeia Hosp Grp, Heart Sect, Athens, Greece

[12] Erasmus MC, Thorax Ctr, Dept Cardiol, Rotterdam, Netherlands

[13] Cedars Sinai Med Ctr, Dept Computat Biomed, Los Angeles, CA 90048 USA

[14] Alan Turing Inst, London, England

[15] Ludwig Maximilians Univ Munchen, Inst Med Informat Proc Biometry & Epidemiol, Munich, Germany

来源：

EUROPEAN HEART JOURNAL | 2022年 / 43卷 / 31期

基金：

美国国家卫生研究院;

关键词：

Digital health; Artificial intelligence; Machine learning; Diagnosis; Prognosis; Prediction; RISK; PERFORMANCE; VALIDATION; DIAGNOSIS; HEALTH; IMPACT; CARE;

D O I：

10.1093/eurheartj/ehac238

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

The medical field has seen a rapid increase in the development of artificial intelligence (AI)-based prediction models. With the introduction of such AI-based prediction model tools and software in cardiovascular patient care, the cardiovascular researcher and healthcare professional are challenged to understand the opportunities as well as the limitations of the AI-based predictions. In this article, we present 12 critical questions for cardiovascular health professionals to ask when confronted with an AI-based prediction model. We aim to support medical professionals to distinguish the AI-based prediction models that can add value to patient care from the AI that does not.

引用

页码：2921 / 2930

页数：10

共 78 条

[61] Assessing the Performance of Prediction Models A Framework for Traditional and Novel Measures [J].

Steyerberg, Ewout W. ;

Vickers, Andrew J. ;

Cook, Nancy R. ;

Gerds, Thomas ;

Gonen, Mithat ;

Obuchowski, Nancy ;

Pencina, Michael J. ;

Kattan, Michael W. .

EPIDEMIOLOGY, 2010, 21 (01) :128-138

[62] Machine learning-based mortality prediction of patients undergoing cardiac resynchronization therapy: the SEMMELWEIS-CRT score [J].

Tokodi, Marton ;

Schwertner, Walter Richard ;

Kovacs, Attila ;

Toser, Zoltan ;

Staub, Levente ;

Sarkany, Andras ;

Lakatos, Balint Karoly ;

Behon, Anett ;

Boros, Andras Mihaly ;

Perge, Peter ;

Kutyifa, Valentina ;

Szeplaki, Gabor ;

Geller, Laszlo ;

Merkely, Bela ;

Kosztin, Annamaria .

EUROPEAN HEART JOURNAL, 2020, 41 (18) :1747-1756

[63] High-performance medicine: the convergence of human and artificial intelligence [J].

Topol, Eric J. .

NATURE MEDICINE, 2019, 25 (01) :44-56

[64] Calibration: the Achilles heel of predictive analytics [J].

van Calster, Ben ;

McLernon, David J. ;

van Smeden, Maarten ;

Wynants, Laure ;

Steyerberg, Ewout W. .

BMC MEDICINE, 2019, 17 (01)

[65] Predictive analytics in health care: how can we know it works? [J].

Van Calster, Ben ;

Wynants, Laure ;

Timmerman, Dirk ;

Steyerberg, Ewout W. ;

Collins, Gary S. .

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2019, 26 (12) :1651-1654

[66] Calibration of Risk Prediction Models: Impact on Decision-Analytic Performance [J].

Van Calster, Ben ;

Vickers, Andrew J. .

MEDICAL DECISION MAKING, 2015, 35 (02) :162-169

[67] Clinical prediction models: diagnosis versus prognosis [J].

van Smeden, Maarten ;

Reitsma, Johannes B. ;

Riley, Richard D. ;

Collins, Gary S. ;

Moons, Karel G. M. .

JOURNAL OF CLINICAL EPIDEMIOLOGY, 2021, 132 :142-145

[68] Sample size for binary logistic prediction models: Beyond events per variable criteria [J].

van Smeden, Maarten ;

Moons, Karel G. M. ;

de Groot, Joris A. H. ;

Collins, Gary S. ;

Altman, Douglas G. ;

Eijkemans, Marinus J. C. ;

Reitsma, Johannes B. .

STATISTICAL METHODS IN MEDICAL RESEARCH, 2019, 28 (08) :2455-2474

[69] Machine Learning Compared With Pathologist Assessment [J].

van Smeden, Maarten ;

van Calster, Ben ;

Groenwold, Rolf H. H. .

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2018, 319 (16) :1725-1726

[70] A simple, step-by-step guide to interpreting decision curve analysis [J].

Andrew J. Vickers ;

Ben van Calster ;

Ewout W. Steyerberg .

Diagnostic and Prognostic Research, 3 (1)

← 1 2 3 4 5 6 7 8 →