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

In Procedia computer science

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.

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

2022

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