This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (481) Clinical Informatics (1022) Clinical Information and Decision Making (1407) Machine Learning (1465) Decision Support for Health Professionals (1185) Computer-Aided Diagnosis (128) Artificial Intelligence (1371) Artificial Intelligence (86)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49034, first published .
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

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

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

Authors of this article:

Yukinori Harada1, 2 Author Orcid Image ;   Shusaku Tomiyama1 Author Orcid Image ;   Tetsu Sakamoto1 Author Orcid Image ;   Shu Sugimoto2 Author Orcid Image ;   Ren Kawamura1 Author Orcid Image ;   Masashi Yokose1 Author Orcid Image ;   Arisa Hayashi1 Author Orcid Image ;   Taro Shimizu1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Kiladze M, Lyakhova U, Lyakhov P, Nagornov N, Vahabi M. Multimodal Neural Network for Recognition of Cardiac Arrhythmias Based on 12-Load Electrocardiogram Signals. IEEE Access 2023;11:133744 View