62 related articles for article (PubMed ID: 38727841)
1. Inter- and Intra-Observer Variability in Diagnosis of Oral Dysplasia.
R SA; B N P; Hegde U; K U; G S; G K; Sil S
Asian Pac J Cancer Prev; 2017 Dec; 18(12):3251-3254. PubMed ID: 29286215
[TBL] [Abstract][Full Text] [Related]
2. Prognostic biomarkers for malignant progression of oral epithelial dysplasia: an updated systematic review and meta-analysis.
Turton N; Payne K; Higginson J; Praveen P; Mehanna H; Nankivell P
Br J Oral Maxillofac Surg; 2024 Jun; 62(5):415-425. PubMed ID: 38677951
[TBL] [Abstract][Full Text] [Related]
3. The innovation of AI-based software in oral diseases: clinical-histopathological correlation diagnostic accuracy primary study.
Zayed SO; Abd-Rabou RYM; Abdelhameed GM; Abdelhamid Y; Khairy K; Abulnoor BA; Ibrahim SH; Khaled H
BMC Oral Health; 2024 May; 24(1):598. PubMed ID: 38778322
[TBL] [Abstract][Full Text] [Related]
4. Patient and clinician perspectives of information needs concerning oral epithelial dysplasia.
Alsoghier A; Riordain RN; Fedele S; Porter S
Oral Dis; 2024 May; 30(4):2166-2175. PubMed ID: 37455497
[TBL] [Abstract][Full Text] [Related]
5. The Evolving Role of Artificial Intelligence in Gastrointestinal Histopathology: An Update.
Codipilly DC; Faghani S; Hagan C; Lewis J; Erickson BJ; Iyer PG
Clin Gastroenterol Hepatol; 2024 Jun; 22(6):1170-1180. PubMed ID: 38154727
[TBL] [Abstract][Full Text] [Related]
6. Reply to: Comment on "Advancing oral cancer diagnosis in Brazil: Integrating artificial intelligence with teledentistry for enhanced patient outcomes".
Alves da Mota Santana L; Góis Floresta L; Maciel Alves ÊV; Ribeiro Couto G; Vieira Valadares C; de Abreu de Vasconcellos SJ; Roque-Torres GD; Amado Santos G; Gandhi Gopalsamy R; Pinto Borges L; Mitsunari Takeshita W; Martins-Filho PR
Oral Oncol; 2024 Jul; 154():106840. PubMed ID: 38735131
[No Abstract] [Full Text] [Related]
7. In response to the reply on 'Advancing oral cancer diagnosis in Brazil: Integrating artificial intelligence with teledentistry for enhanced patient outcomes'.
Ricardo Elias de Melo P; Agra Monteiro M; Vitória de Araújo Lopes N; Silva Cunha JL
Oral Oncol; 2024 Jul; 154():106856. PubMed ID: 38781627
[No Abstract] [Full Text] [Related]
8. An Update on the Use of Artificial Intelligence in Digital Pathology for Oral Epithelial Dysplasia Research.
Alajaji SA; Khoury ZH; Jessri M; Sciubba JJ; Sultan AS
Head Neck Pathol; 2024 May; 18(1):38. PubMed ID: 38727841
[TBL] [Abstract][Full Text] [Related]
9. Generative Adversarial Networks in Digital Histopathology: Current Applications, Limitations, Ethical Considerations, and Future Directions.
Alajaji SA; Khoury ZH; Elgharib M; Saeed M; Ahmed ARH; Khan MB; Tavares T; Jessri M; Puche AC; Hoorfar H; Stojanov I; Sciubba JJ; Sultan AS
Mod Pathol; 2024 Jan; 37(1):100369. PubMed ID: 37890670
[TBL] [Abstract][Full Text] [Related]
10. Development and validation of a multivariable model for prediction of malignant transformation and recurrence of oral epithelial dysplasia.
Mahmood H; Shephard A; Hankinson P; Bradburn M; Araujo ALD; Santos-Silva AR; Lopes MA; Vargas PA; McCombe KD; Craig SG; James J; Brooks J; Nankivell P; Mehanna H; Rajpoot N; Khurram SA
Br J Cancer; 2023 Nov; 129(10):1599-1607. PubMed ID: 37758836
[TBL] [Abstract][Full Text] [Related]
11. A digital score of peri-epithelial lymphocytic activity predicts malignant transformation in oral epithelial dysplasia.
Bashir RMS; Shephard AJ; Mahmood H; Azarmehr N; Raza SEA; Khurram SA; Rajpoot NM
J Pathol; 2023 Aug; 260(4):431-442. PubMed ID: 37294162
[TBL] [Abstract][Full Text] [Related]
12. The Current and Future State of AI Interpretation of Medical Images.
Rajpurkar P; Lungren MP
N Engl J Med; 2023 May; 388(21):1981-1990. PubMed ID: 37224199
[No Abstract] [Full Text] [Related]
13. Peering inside the black box of AI.
Ornes S
Proc Natl Acad Sci U S A; 2023 May; 120(22):e2307432120. PubMed ID: 37224179
[No Abstract] [Full Text] [Related]
14. Dynamic real-time optical microscopy of oral mucosal lesions using confocal laser endomicroscopy.
Farah CS; Janik M; Woo SB; Grew J; Slim Z; Fox SA
J Oral Pathol Med; 2023 Jul; 52(6):539-547. PubMed ID: 37163356
[TBL] [Abstract][Full Text] [Related]
15. Deep learning-based pathology image analysis predicts cancer progression risk in patients with oral leukoplakia.
Zhang X; Gleber-Netto FO; Wang S; Martins-Chaves RR; Gomez RS; Vigneswaran N; Sarkar A; William WN; Papadimitrakopoulou V; Williams M; Bell D; Palsgrove D; Bishop J; Heymach JV; Gillenwater AM; Myers JN; Ferrarotto R; Lippman SM; Pickering CR; Xiao G
Cancer Med; 2023 Mar; 12(6):7508-7518. PubMed ID: 36721313
[TBL] [Abstract][Full Text] [Related]
16. Early detection of oral potentially malignant disorders using machine learning: a retrospective pilot study.
Issa N; Leonas J; Jham BC; Mitchell JC; Cuevas-Nunez MC
Gen Dent; 2022; 70(6):60-64. PubMed ID: 36288077
[TBL] [Abstract][Full Text] [Related]
17. Prediction of malignant transformation in oral epithelial dysplasia using machine learning.
Ingham J; Smith CI; Ellis BG; Whitley CA; Triantafyllou A; Gunning PJ; Barrett SD; Gardener P; Shaw RJ; Risk JM; Weightman P
IOP SciNotes; 2022 Sep; 3(3):034001. PubMed ID: 36277682
[TBL] [Abstract][Full Text] [Related]
18. Automated detection of premalignant oral lesions on whole slide images using convolutional neural networks.
Liu Y; Bilodeau E; Pollack B; Batmanghelich K
Oral Oncol; 2022 Nov; 134():106109. PubMed ID: 36126604
[TBL] [Abstract][Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]