B-20 | Interventional Cardiologists’ Perspectives and Knowledge Towards Artificial Intelligence

Abstract

Artificial intelligence (AI) based tools are increasingly used in interventional cardiology (IC). We performed an online, anonymous, international survey to assess the attitudes of interventional cardiologists about AI. A total of 521 interventional cardiologists participated in the survey. The median age of participants was 36-45 years, most (51.5%) practice in the United States and 7.5% were women. Most could explain well or somehow knew what AI is about (84.9%) and had high/very high level of enthusiasm about AI in cardiology (90%). However, 73.5% believe 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% are currently implementing AI in their personal clinical practice, while 60.6% estimated implementation of AI in their practice the next 5 years. Most (78.0%) believe that AI implications in IC will not have negative impact on compensation, while 23.1% are concerned/extremely concerned about displacement from AI. Most believe that AI will increase diagnostic efficiency, diagnostic accuracy, treatment selection, 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%). In case of AI-related errors, most agreed that physician making the decision should be primarily responsible (44.7%) or responsibility should be equally shared by multiple parties (35.5%). Most participants (9 out of 10; 87.0%) would override AI based on their experience and knowledge. Our survey suggests a positive attitude of interventional cardiologists regarding AI implementation in the field of IC.

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