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

RCTs - Protocols/Proposals (funded, already peer-reviewed, eHealth) (353) Clinical Information and Decision Making (1415) Ontologies, Classifications, and Coding (239) Decision Support for Health Professionals (1193) Artificial Intelligence (1388) Artificial Intelligence (89)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54593, first published .
Improving Quality of ICD-10 (International Statistical Classification of Diseases, Tenth Revision) Coding Using AI: Protocol for a Crossover Randomized Controlled Trial

Improving Quality of ICD-10 (International Statistical Classification of Diseases, Tenth Revision) Coding Using AI: Protocol for a Crossover Randomized Controlled Trial

Improving Quality of ICD-10 (International Statistical Classification of Diseases, Tenth Revision) Coding Using AI: Protocol for a Crossover Randomized Controlled Trial

Authors of this article:

Taridzo Chomutare1, 2 Author Orcid Image ;   Anastasios Lamproudis1 Author Orcid Image ;   Andrius Budrionis1, 3 Author Orcid Image ;   Therese Olsen Svenning1 Author Orcid Image ;   Lill Irene Hind4 Author Orcid Image ;   Phuong Dinh Ngo1, 3 Author Orcid Image ;   Karl Øyvind Mikalsen3, 5 Author Orcid Image ;   Hercules Dalianis1, 6 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Pavić M, Tokalić R, Marušić A. Poor registration and publication practices in clinical trials of targeted therapeutics for endocrine and metabolic diseases: an observational study. Journal of Clinical Epidemiology 2024;176:111570 View