Published on in Vol 2 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/40843, first published
.
Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory: Development and Validation Study
Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory: Development and Validation Study
Journals
- Preiksaitis C, Ashenburg N, Bunney G, Chu A, Kabeer R, Riley F, Ribeira R, Rose C. The Role of Large Language Models in Transforming Emergency Medicine: Scoping Review. JMIR Medical Informatics 2024;12:e53787 View
- Akyon S, Akyon F, Camyar A, Hızlı F, Sari T, Hızlı Ş. Evaluating the Capabilities of Generative AI Tools in Understanding Medical Papers: Qualitative Study. JMIR Medical Informatics 2024;12:e59258 View
- Dorémus O, Russon D, Contrand B, Guerra-Adames A, Avalos-Fernandez M, Gil-Jardiné C, Lagarde E. Harnessing Moderate-Sized Language Models for Reliable Patient Data Deidentification in Emergency Department Records: Algorithm Development, Validation, and Implementation Study. JMIR AI 2025;4:e57828 View
Conference Proceedings
- Gahane S, Verma P. INTERNATIONAL CONFERENCE ON INTELLIGENT TECHNOLOGIES FOR SUSTAINABLE ENERGY MANAGEMENT AND CONTROL 2023: ITSEMC2023. The research study on intelligent system for electronic health record that handles interpretation of child patient records View
- Gahane S, Verma P. INTERNATIONAL CONFERENCE ON EMERGING MATERIALS, SMART MANUFACTURING, AND COMPUTATIONAL INTELLIGENCE. A review on intelligent information systems for handling electronic child patient health records View