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. 2022 Dec 8;214:18–25. doi: 10.1016/j.procs.2022.11.143

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

Smaranda Belciug a, Renato Constantin Ivanescu a, Sebastian-Doru Popa a, Dominic Gabriel Iliescu a,b
PMCID: PMC9729980  PMID: 36514710

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: deep learning, statistical learning, computer aided medical diagnosis, statistics, second trimester morphology, congenital anomalies

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Articles from Procedia Computer Science are provided here courtesy of Elsevier

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