Leveraging AI and CRM integration for predictive oral health care

Author:

Krishna S.,Vyas A.

Publisher

Springer Science and Business Media LLC

Reference6 articles.

1. Batool I, Naved N, Kazmi S M R, Umer F. Leveraging Large Language Models in the delivery of post-operative dental care: a comparison between an embedded GPT model and ChatGPT. BDJ Open 2024; doi: 10.1038/s41405-024-00226-3.

2. Kraljevic Z, Bean D, Shek A et al. Foresight -- Generative Pretrained Transformer (GPT) for Modelling of Patient Timelines using EHRs. 2022. Available at: https://arxiv.org/abs/2212.08072 (accessed August 2024).

3. Foo A, Hsu W, Lee M, Tan G. DP-GAT: A Framework for Image-based Disease Progression Prediction. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2022. Available at: https://consensus.app/papers/dpgat-framework-imagebased-disease-progression-foo/932f4cb8fb8b538aa479e2d8d7d22413/ (accessed August 2024).

4. Gomez-Rios I, Egea-Lopez E, Ruiz A J O. ORIENTATE: automated machine learning classifiers for oral health prediction and research. BMC Oral Health 2023; doi: 10.1186/s12903-023-03112-w.

5. Cruz-Ávila J, Hernández-Pérez E, González-González R, Bologna-Molina R, Molina-Frechero N. Periodontal disease in obese patients; Interleukin-6 and C-Reactive protein study: A systematic review. Dent J (Basel) 2022; doi: 10.3390/dj10120225.

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