f Booming Artificial Intelligence in Oral Cancer Diagnosis: From Image Processing to Stage Classification

References

1. KhanagarS.B. AlkadiL. AlghilanM.A. KalagiS. AwawdehM. BijaiL.K. VishwanathaiahS. AldhebaibA. SinghO.G. Application and performance of Artificial Intelligence (AI) in oral cancer diagnosis and prediction using histopathological images: A systematic review.Biomedicines2023116161210.3390/biomedicines1106161237371706
   [Google Scholar]
2. WangN. LiuY. LiuZ. HuangX. Application of artificial intelligence and big data in modern financial management.2020 International Conference on Artificial Intelligence and Education (ICAIE)202085710.1109/ICAIE50891.2020.00027
   [Google Scholar]
3. KarA. WreesmannV.B. ShwethaV. ThakurS. RaoV.U.S. ArakeriG. BrennanP.A. Improvement of oral cancer screening quality and reach: The promise of artificial intelligence.J. Oral Pathol. Med.202049872773010.1111/jop.1301332162398
   [Google Scholar]
4. PanigrahiS. SwarnkarT. Machine learning techniques used for the histopathological image analysis of oral cancer-a review.Open Bioinform. J.202013110611810.2174/1875036202013010106
   [Google Scholar]
5. PatelJ. GoyalR. Applications of artificial neural networks in medical science.Curr. Clin. Pharmacol.20072321722610.2174/15748840778166881118690868
   [Google Scholar]
6. XuY. JiaZ. WangL.B. AiY. ZhangF. LaiM. ChangE.I.C. Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features.BMC Bioinformatics201718128110.1186/s12859‑017‑1685‑x28549410
   [Google Scholar]
7. ChangS.W. Abdul-KareemS. MericanA.F. ZainR.B. Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods.BMC Bioinformatics201314117010.1186/1471‑2105‑14‑17023725313
   [Google Scholar]
8. DasD.K. KoleyS. ChakrabortyC. MaitiA.K. Automated segmentation of Mitotic Cells for in vitro histological evaluation of oral squamous cell carcinoma.2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)2014000354710.1109/ISSPIT.2014.7300614
   [Google Scholar]
9. ShettyS. PatilA.P. Oral cancer detection model in distributed cloud environment via optimized ensemble technique.Biomed. Signal Process. Control20238110431110.1016/j.bspc.2022.104311
   [Google Scholar]
10. ShamimM.Z.M. SyedS. ShibleeM. UsmanM. AliS.J. HusseinH.S. FarragM. Automated detection of oral pre-cancerous tongue lesions using deep learning for early diagnosis of oral cavity cancer.Comput. J.20226519110410.1093/comjnl/bxaa136
    [Google Scholar]
11. ArtemovaE. Deep Learning for the Russian Language. The Palgrave Handbook of Digital Russia Studies.ChamSpringer International Publishing202146548110.1007/978‑3‑030‑42855‑6_26
    [Google Scholar]
12. DongS. WangP. AbbasK. A survey on deep learning and its applications.Comput. Sci. Rev.20214010037910.1016/j.cosrev.2021.100379
    [Google Scholar]
13. SonL.H. TuanT.M. FujitaH. DeyN. AshourA.S. NgocV.T.N. AnhL.Q. ChuD-T. Dental diagnosis from X-Ray images: An expert system based on fuzzy computing.Biomed. Signal Process. Control201839647310.1016/j.bspc.2017.07.005
    [Google Scholar]
14. ChawlaP. RoyP. Role of artificial intelligence in the screening of neoplastic oral lesions. Advanced Communication and Intelligent Systems.ChamSpringer202378579210.1007/978‑3‑031‑25088‑0_69
    [Google Scholar]
15. SohailM.N. JiadongR. UbaM.M. IrshadM. A comprehensive looks at data mining techniques contributing to medical data growth: A survey of researcher reviews. Recent Developments in Intelligent Computing, Communication and Devices.ChamSpringer2019212610.1007/978‑981‑10‑8944‑2_3
    [Google Scholar]
16. TanM.S. TanJ.W. ChangS.W. YapH.J. Abdul KareemS. ZainR.B. A genetic programming approach to oral cancer prognosis.PeerJ20164e248210.7717/peerj.248227688975
    [Google Scholar]
17. RajpurkarP. ChenE. BanerjeeO. TopolE.J. AI in health and medicine.Nat. Med.2022281313810.1038/s41591‑021‑01614‑035058619
    [Google Scholar]
18. UdelsmanB. ChienI. OuchiK. BrizziK. TulskyJ.A. LindvallC. Needle in a haystack: Natural language processing to identify serious illness.J. Palliat. Med.201922217918210.1089/jpm.2018.029430251922
    [Google Scholar]
19. AlhazmiA. AlhazmiY. MakramiA. MasmaliA. SalawiN. MasmaliK. PatilS. Application of artificial intelligence and machine learning for prediction of oral cancer risk.J. Oral Pathol. Med.202150544445010.1111/jop.1315733394536
    [Google Scholar]
20. KimJ.S. KimB.G. HwangS.H. Efficacy of artificial intelligence-assisted discrimination of oral cancerous lesions from normal mucosa based on the oral mucosal image: A systematic review and meta-analysis.Cancers (Basel)20221414349910.3390/cancers1414349935884560
    [Google Scholar]
21. OyaK. KokomotoK. NozakiK. ToyosawaS. Oral squamous cell carcinoma diagnosis in digitized histological images using convolutional neural network.J. Dent. Sci.202318132232910.1016/j.jds.2022.08.01736643248
    [Google Scholar]
22. JayaramN. MuralidharanM. MuthupandianS. The use of multilayer perceptron and radial basis function: An artificial intelligence model to predict progression of oral cancer.Int. J. Surg.20231091575910.1097/JS9.000000000000002636799795
    [Google Scholar]
23. DixitS. KumarA. SrinivasanK. A current review of machine learning and deep learning models in oral cancer diagnosis: Recent technologies, open challenges, and future research directions.Diagnostics (Basel)2023137135310.3390/diagnostics1307135337046571
    [Google Scholar]
24. WarinK. LimprasertW. SuebnukarnS. JinapornthamS. JantanaP. VicharueangS. AI-based analysis of oral lesions using novel deep convolutional neural networks for early detection of oral cancer.PLoS One2022178e027350810.1371/journal.pone.027350836001628
    [Google Scholar]
25. KavyashreeC. VimalaH.S. ShreyasJ. A systematic review of artificial intelligence techniques for oral cancer detection.Health Care Anal.2024510030410.1016/j.health.2024.100304
    [Google Scholar]
26. Kanimozhi RB. Advancements in AI-driven bioinformatics for oral cancer detection and personalized treatment.Oral Oncol. Reports20241010040010.1016/j.oor.2024.100400
    [Google Scholar]
27. SuryawanshiH. PatilS.R. ThangaveluL. KarobariM.I. Artificial intelligence illuminates the path: Revolutionizing oral oncology with Intelligent Insights.Oral Oncol. Reports2024910024410.1016/j.oor.2024.100244
    [Google Scholar]
28. Karuppan PerumalM.K. Prasad SrinivasanG. ThangaveluL. Rajan RenukaR. Theragnostic applications of artificial intelligence (AI) in the field of oral cancer care.Oral Oncol. Reports20241010027810.1016/j.oor.2024.100278
    [Google Scholar]
29. AhmedS.K. The future of oral cancer care: Integrating ChatGPT into clinical practice.Oral Oncol. Reports20241010031710.1016/j.oor.2024.100317
    [Google Scholar]