Machine learning in cardiovascular medicine: are we there yet?

By Khader Shameer, Kipp W. Johnson, Benjamin S. Glicksberg, Joel T. Dudley, Partho P. Sengupta. Heart, 2018

457 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cardiology and Cardiovascular Medicine, Health Information Management

View Paper: https://www.semanticscholar.org/paper/f4c3315684cfd474c3d13ae4954de0dead5e81a3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Paul Leeson

In Cardiology and Cardiovascular Medicine

1. Alfonso Bueno-Orovio
2. Blanca Rodríguez

Citations in the corpus

• Physician Confidence in Artificial Intelligence: An Online Mobile Survey (2018, unknown): “A subfield of AI is machine learning, which can be used to teach a computer to analyze a vast amount of data in a rapid, accurate, and efficient manner through the use of complex computing and statistical algorithms [10,11].”
• The ‘Digital Twin’ to enable the vision of precision cardiology (2020, background): “Technical, ethical, and financial constraints limit the data acquisition needed to assist clinical decision-making.(14,15) Synergy between mechanistic and statistical models has shown value in aiding diagnosis, treatment, and prognosis evaluation.”