Why all cardiologists should know AI’s strengths, weaknesses – AI in Healthcare

Posted: Published on February 3rd, 2020

This post was added by Alex Diaz-Granados

When AI first started gaining popularity in healthcare, many providers were critical, skeptical or just avoided learning about the technology altogether. According to a new analysis published in Heart, however, the time has come for cardiologists to step up and pay close attention.

We live in an era with unprecedented availability of clinical and biological data that include electronic health records, wearable sensors, biomedical imaging and multiomics, wrote lead author Antonio de Marvao, Imperial College London, and colleagues. The scale, complexity and rate at which such data are collected require innovative approaches to statistics and computer science that draw on the rapid advances in AI for efficiently identifying actionable insights into disease processes. A basic understanding of AIs strengths, applications and limitations is now essential for researchers and clinical cardiologists.

They went on to explore the basics of AI, including machine learning (ML) and deep learning (DL), and detail how cardiology has started truly embracing this growing field.

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Why all cardiologists should know AI's strengths, weaknesses - AI in Healthcare

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