Published on in Vol 3 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/58342, first published
.

Journals
- Terwilliger E, Bcharah G, Bcharah H, Bcharah E, Richardson C, Scheffler P. Advancing Medical Education: Performance of Generative Artificial Intelligence Models on Otolaryngology Board Preparation Questions With Image Analysis Insights. Cureus 2024 View
- Nomura A, Takeji Y, Shimojima M, Takamura M. Digitalomics: Towards Artificial Intelligence / Machine Learning-Based Precision Cardiovascular Medicine. Circulation Journal 2025 View
- Banyi N, Ma B, Amanian A, Bur A, Abdalkhani A. Applications of Natural Language Processing in Otolaryngology: A Scoping Review. The Laryngoscope 2025;135(9):3049 View
- Filali Ansary R, Lechien J. Clinical decision support using large language models in otolaryngology: a systematic review. European Archives of Oto-Rhino-Laryngology 2025;282(8):4325 View
- Zhou S, Xu Z, Zhang M, Xu C, Guo Y, Zhan Z, Fang Y, Ding S, Wang J, Xu K, Xia L, Yeung J, Zha D, Cai D, Melton G, Lin M, Zhang R. Large language models for disease diagnosis: a scoping review. npj Artificial Intelligence 2025;1(1) View
Books/Policy Documents
- Sultana J, Qin R, Yin Z. Computer Vision – ACCV 2024. View
Conference Proceedings
- Deva B, Sood V, Fahim A, Krishna P, T A. 2025 3rd International Conference on Data Science and Information System (ICDSIS). Real Time Diagnosis of Middle Ear Infections using Raspberry Pi integrated Vision Transformer System with Feature Fusion View