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Interventional cardiologists' perspectives and knowledge towards artificial intelligence.
Alexandrou, Michaella; Rempakos, Athanasios; Mutlu, Deniz; Al Ogaili, Ahmed; Rangan, Bavana V; Mastrodemos, Olga C; Voudris, Konstantinos; Milkas, Anastasios; Burke, M Nicholas; Sandoval, Yader; Chatzizisis, Yiannis S; Siontis, Konstantinos C; Brilakis, Emmanouil S.
  • Alexandrou M; Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, Minnesota, USA.
  • Rempakos A; Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, Minnesota, USA.
  • Mutlu D; Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, Minnesota, USA.
  • Al Ogaili A; Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, Minnesota, USA.
  • Rangan BV; Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, Minnesota, USA.
  • Mastrodemos OC; Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, Minnesota, USA.
  • Voudris K; Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, Minnesota, USA.
  • Milkas A; Athens Naval Hospital, Athens, Greece.
  • Burke MN; Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, Minnesota, USA.
  • Sandoval Y; Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, Minnesota, USA.
  • Chatzizisis YS; Center for Digital Cardiovascular Innovations, Division of Cardiovascular Medicine, University of Miami Miller School of Medicine, Miami, Florida, USA.
  • Siontis KC; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Brilakis ES; Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, Minnesota, USA. Email: esbrilakis@gmail.com.
J Invasive Cardiol ; 36(8)2024 Aug.
Article en En | MEDLINE | ID: mdl-38598250
ABSTRACT

BACKGROUND:

Artificial intelligence (AI) is increasingly utilized in interventional cardiology (IC) and holds the potential to revolutionize the field.

METHODS:

We conducted a global, web-based, anonymous survey of IC fellows and attendings to assess the knowledge and perceptions of interventional cardiologists regarding AI use in IC.

RESULTS:

A total of 521 interventional cardiologists participated in the survey. The median age range of participants was 36 to 45 years, most (51.5%) practice in the United States, and 7.5% were women. Most (84.7%) could explain well or somehow knew what AI is about, and 63.7% were optimistic/very optimistic about AI in IC. However, 73.5% believed that physicians know too little about AI to use it on patients and most (46.1%) agreed that training will be necessary. Only 22.1% were currently implementing AI in their personal clinical practice, while 60.6% estimated implementation of AI in their practice during the next 5 years. Most agreed that AI will increase diagnostic efficiency, diagnostic accuracy, treatment selection, and healthcare expenditure, and decrease medical errors. The most tried AI-powered tools were image analysis (57.3%), ECG analysis (61.7%), and AI-powered algorithms (45.9%). Interventional cardiologists practicing in academic hospitals were more likely to have AI tools currently implemented in their clinical practice and to use them, women had a higher likelihood of expressing concerns regarding AI, and younger interventional cardiologists were more optimistic about AI integration in IC.

CONCLUSIONS:

Our survey suggests a positive attitude of interventional cardiologists regarding AI implementation in the field of IC.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Cardiólogos Límite: Adult / Female / Humans / Male / Middle aged País como asunto: America do norte Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Cardiólogos Límite: Adult / Female / Humans / Male / Middle aged País como asunto: America do norte Idioma: En Año: 2024 Tipo del documento: Article