Use of Artificial Intelligence in detecting various kinds of oral ulcers
Contributors
Researchers:
- 1. Department of Oral Pathology and Microbiology, Bhabha College of Dental Sciences, Bhopal, India
- 2. Department of Conservative Dentistry and Endodontics, Bhabha College of Dental Sciences, Bhopal, India,
- 3. Department of Oral Pathology and Microbiology, Bhabha College of Dental Sciences, Bhopal, India,
- 4. Department of Public Health Dentistry, Bhabha College of Dental Sciences, Bhopal, India
Description
ABSTRACT:
The integration of Artificial intelligencein the detection of mouth ulcers marks a transformative
advancement in oral healthcare. This review explores the multifaceted benefits of Artificial intelligence
in this context, emphasizing its role in expediting diagnosis, enhancing accuracy, and fostering proactive
interventions. The ability of Artificial intelligence to analyze oral images rapidly and precisely enables
early detection and classification of various mouth ulcers, contributing to more informed treatment
plans. The technological pattern recognition capabilities and its integration with imaging techniques
offer a comprehensive understanding of oral health, facilitating differentiation between ulcer types.
Real-time monitoring empowers patients and healthcare providers, promoting timely interventions and
self-awareness. While Artificial intelligence holds promise for preventive strategies and resource
optimization, responsible implementation and ethical considerations are crucial. Thereview concludes
that Artificial intelligence in mouth ulcer detection signifies a paradigm shift towards more efficient,
precise, and patient-centric oral healthcare practices.
Files
11.pdf
Files
(471.3 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:9809ce5bd65344d6f8357eae793c3af4
|
471.3 kB | Preview Download |
Additional details
Dates
- Accepted
-
2023-12-26
References
- 1. Tiwari A. Aphthous Ulcer: A Case Report. PJSR. 2023;16(1):66-68, doi.org/10.5281/ zenodo. 8077187 2. Rathore A, Tiwari, A, Nazim M, Gupta A K, Gande M, Krishnakumar J. Detection of Human PapillomaVirus and its Association with Potentially Malignant Disorders and Oral Squamous Cell Carcinoma: A Retrospective Study. Journal of pharmacy &bioallied s c i e n c e s . 2 0 0 2 ; 1 4 ( S u p p l 1 ) , S 8 2 0 – S 8 2 4 . https://doi.org/10.4103/jpbs.jpbs_9_22 3. Tiwari A. A Traumatic Ulcer Caused by Accidental Lip Biting Following Topical Anesthesia: A Case Report. C u r e u s . 2 0 2 3 A p r 2 9 ; 1 5 ( 4 ) : e 3 8 3 1 6 . d o i : 10.7759/cureus.38316. PMID: 37261171; PMCID: PMC10227189.
- 4. Tiwari A, Gupta N, Singla D, et al. (September 13, 2023) Artificial Intelligence's Use in the Diagnosis of Mouth Ulcers: A Systematic Review. Cureus 15(9): e45187. doi:10.7759/cureus.45187 5. Ding H, Wu J, Zhao W, Matinlinna JP, Burrow MF and Tsoi JKH (2023) Artificial intelligence in dentistry—A review. Front. Dent. Med. 2023;4:1085251. doi: 10.3389/fdmed.2023.1085251 6. Tiwari A, Kumar A, Jain S, et al. (June 13, 2023) Implications of ChatGPT in Public Health Dentistry: A Systematic Review. Cureus 15(6): e40367. doi:10.7759/cureus.40367
- 7. Kumar P, Kumar P, Tiwari A, et al. A Cross-Sectional Assessment of Effects of Imprisonment Period on the Oral Health Status of Inmates in Ghaziabad, Delhi National Capital Region, India. Cureus. 2022;14(7): e27511. doi:10.7759/cureus.27511 8. Agrawal P, Nikhade P. Artificial Intelligence in Dentistry: Past, Present, and Future. Cureus. 2022 Jul 28;14(7):e27405. doi: 10.7759/cureus.27405. PMID: 36046326; PMCID: PMC9418762. 9. Rajaram Mohan K, Mathew Fenn S. Artificial
- Intelligence and Its Theranostic Applications in Dentistry. Cureus. 2023 May 8;15(5):e38711. doi: 10.7759/cureus.38711. PMID: 37292569; PMCID: PMC10246515. 10. Ayad N, Schwendicke F, Krois J, van den Bosch S, Bergé S, Bohner L, Hanisch M, Vinayahalingam S. Patients' perspectives on the use of artificial intelligence in dentistry: a regional survey. Head Face Med. 2023;19(1):23. doi: 10.1186/s13005-023-00368-z. PMID: 37349791; PMCID: PMC10288769.