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

Applications of AI (299) Research Methodology - AI (42) Language Translation Technologies for Medicine and Public Health (23) Machine Learning (2121) Natural Language Processing (930) Artificial Intelligence (2185) Clinical Information and Decision Making (1953)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68020, first published .
Training Language Models for Estimating Priority Levels in Ultrasound Examination Waitlists: Algorithm Development and Validation

Training Language Models for Estimating Priority Levels in Ultrasound Examination Waitlists: Algorithm Development and Validation

Training Language Models for Estimating Priority Levels in Ultrasound Examination Waitlists: Algorithm Development and Validation

Authors of this article:

Kanato Masayoshi1 Author Orcid Image ;   Masahiro Hashimoto1 Author Orcid Image ;   Naoki Toda1 Author Orcid Image ;   Hirozumi Mori1 Author Orcid Image ;   Goh Kobayashi1 Author Orcid Image ;   Hasnine Haque2 Author Orcid Image ;   Mizuki So1 Author Orcid Image ;   Masahiro Jinzaki1 Author Orcid Image
Article Authors Cited by (1) Tweetations (5) Metrics

Journals

  1. Chen S, Xu D, Hu D, Hu P, Huang T. Predicting Metabolic Dysfunction–Associated Fatty Liver Disease Phenotypes Among Adults: 2-Stage Contrastive Learning Method. JMIR Medical Informatics 2025;13:e75747 View