Effects of Combinational Use of Additional Differential Diagnostic Generators on the Diagnostic Accuracy of the Differential Diagnosis List Developed by an Artificial Intelligence-Driven Automated History-Taking System: Pilot Cross-Sectional Study.

Yukinori Harada Shusaku Tomiyama Tetsu Sakamoto Shu Sugimoto Ren Kawamura Masashi Yokose Arisa Hayashi Taro Shimizu

Published in: JMIR formative research (2023)

Simply adding each of the top 10 DDx lists from additional DDx generators increased the diagnostic accuracy of the DDx list by approximately 20%, suggesting that the combinational use of DDx generators early in the diagnostic process is beneficial.

Keyphrases

artificial intelligence
machine learning
deep learning
big data
high throughput
double blind