Combining ChatGPT and machine learning: A viable alternative for discussion in oral medicine

Affiliations

¹ Department of Dentistry, Federal University of Sergipe (UFS), Aracaju, SE, Brazil.
² Department of Dentistry, Tiradentes University (UNIT), Aracaju, SE, Brazil.
³ Department of Otolaryngology-Head and Neck Surgery, University of Missouri, Columbia, Missouri, USA.
⁴ Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA.
⁵ Department of Dentistry, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.
⁶ Department of Diagnosis and Surgery, School of Dentistry, São Paulo State University (UNESP), Araçatuba, SP, Brazil.

Comment

Lucas Alves da Mota Santana et al. Oral Dis. 2024 Jul.

. 2024 Jul;30(5):3521-3522.

doi: 10.1111/odi.14706. Epub 2023 Jul 30.

¹ Department of Dentistry, Federal University of Sergipe (UFS), Aracaju, SE, Brazil.
² Department of Dentistry, Tiradentes University (UNIT), Aracaju, SE, Brazil.
³ Department of Otolaryngology-Head and Neck Surgery, University of Missouri, Columbia, Missouri, USA.
⁴ Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA.
⁵ Department of Dentistry, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.
⁶ Department of Diagnosis and Surgery, School of Dentistry, São Paulo State University (UNESP), Araçatuba, SP, Brazil.

No abstract available

Comment in

Comment on: Combining ChatGPT and machine learning: A viable alternative in oral medicine.
Kleebayoon A, Wiwanitkit V. Kleebayoon A, et al. Oral Dis. 2024 Jul;30(5):3528. doi: 10.1111/odi.14742. Epub 2023 Sep 20. Oral Dis. 2024. PMID: 37731266 No abstract available.
Authors' reply: Combining ChatGPT and machine learning: A viable alternative in oral medicine.
Santana LADM, Gonçalo RIC, Barbosa BF, Takeshita WM, Trento CL. Santana LADM, et al. Oral Dis. 2024 Jul;30(5):3526-3527. doi: 10.1111/odi.14741. Epub 2023 Oct 17. Oral Dis. 2024. PMID: 37848339 No abstract available.

Evaluating GPT as an Adjunct for Radiologic Decision Making: GPT-4 Versus GPT-3.5 in a Breast Imaging Pilot.
Rao A, Kim J, Kamineni M, Pang M, Lie W, Dreyer KJ, Succi MD. Rao A, et al. J Am Coll Radiol. 2023 Oct;20(10):990-997. doi: 10.1016/j.jacr.2023.05.003. Epub 2023 Jun 21. J Am Coll Radiol. 2023. PMID: 37356806 Free PMC article.

1. Abiodun, O. I., Jantan, A., Omolara, A. E., Dada, K. V., Mohamed, N. A., & Arshad, H. (2018). State‐of‐the‐art in artificial neural network applications: A survey. Heliyon, 4(11), e00938. https://doi.org/10.1016/j.heliyon.2018.e00938
1. Baxi, V., Edwards, R., Montalto, M., & Saha, S. (2022). Digital pathology and artificial intelligence in translational medicine and clinical practice. Modern Pathology, 35(1), 23–32. https://doi.org/10.1038/s41379‐021‐00919‐2
1. Cui, M., & Zhang, D. Y. (2021). Artificial intelligence and computational pathology. Laboratory Investigation, 101(4), 412–422. https://doi.org/10.1038/s41374‐020‐00514‐0
1. Dahmen, J., Kayaalp, M., Ollivier, M., Pareek, A., Hirschmann, M. T., Karlsson, J., & Winkler, P. W. (2023). Artificial intelligence bot ChatGPT in medical research: The potential game changer as a double‐edged sword. Knee Surgery, Sports Traumatology, Arthroscopy, 31(4), 1187–1189. https://doi.org/10.1007/s00167‐023‐07355‐6
1. Harrison, J. H., Gilbertson, J. R., Hanna, M. G., Olson, N. H., Seheult, J. N., Sorace, J. M., & Stram, M. N. (2021). Introduction to artificial intelligence and machine learning for pathology. Archives of Pathology & Laboratory Medicine, 145(10), 1228–1254. https://doi.org/10.5858/arpa.2020‐0541‐CP