Doctor/Data Scientist/Artificial Intelligence Communication Model. Case Study

Smaranda Belciug, Renato Constantin Ivanescu, Sebastian-Doru Popa, Dominic Gabriel Iliescu, Smaranda Belciug, Renato Constantin Ivanescu, Sebastian-Doru Popa, Dominic Gabriel Iliescu

Abstract

The last two years have taught us that we need to change the way we practice medicine. Due to the COVID-19 pandemic, obstetrics and gynecology setting has changed enormously. Monitoring pregnant women prevents deaths and complications. Doctors and computer data scientists must learn to communicate and work together to improve patients' health. In this paper we present a good practice example of a competitive/collaborative communication model for doctors, computer scientists and artificial intelligence systems, for signaling fetal congenital anomalies in the second trimester morphology scan.

Keywords: computer aided medical diagnosis; congenital anomalies; deep learning; second trimester morphology; statistical learning; statistics.

© 2022 The Author(s). Published by Elsevier B.V.

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Source: PubMed

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