215 related articles for article (PubMed ID: 37980945)
1. Artificial intelligence and allied subsets in early detection and preclusion of gynecological cancers.
Garg P; Mohanty A; Ramisetty S; Kulkarni P; Horne D; Pisick E; Salgia R; Singhal SS
Biochim Biophys Acta Rev Cancer; 2023 Nov; 1878(6):189026. PubMed ID: 37980945
[TBL] [Abstract][Full Text] [Related]
2. Application of artificial intelligence in gynecologic malignancies: A review.
Sone K; Toyohara Y; Taguchi A; Miyamoto Y; Tanikawa M; Uchino-Mori M; Iriyama T; Tsuruga T; Osuga Y
J Obstet Gynaecol Res; 2021 Aug; 47(8):2577-2585. PubMed ID: 33973305
[TBL] [Abstract][Full Text] [Related]
3. Artificial intelligence in gynecologic cancers: Current status and future challenges - A systematic review.
Akazawa M; Hashimoto K
Artif Intell Med; 2021 Oct; 120():102164. PubMed ID: 34629152
[TBL] [Abstract][Full Text] [Related]
4. Applications of artificial intelligence (AI) in ovarian cancer, pancreatic cancer, and image biomarker discovery.
Mikdadi D; O'Connell KA; Meacham PJ; Dugan MA; Ojiere MO; Carlson TB; Klenk JA
Cancer Biomark; 2022; 33(2):173-184. PubMed ID: 35213360
[TBL] [Abstract][Full Text] [Related]
5. Artificial intelligence-based risk stratification, accurate diagnosis and treatment prediction in gynecologic oncology.
Jiang Y; Wang C; Zhou S
Semin Cancer Biol; 2023 Nov; 96():82-99. PubMed ID: 37783319
[TBL] [Abstract][Full Text] [Related]
6. Applying Artificial Intelligence to Gynecologic Oncology: A Review.
Mysona DP; Kapp DS; Rohatgi A; Lee D; Mann AK; Tran P; Tran L; She JX; Chan JK
Obstet Gynecol Surv; 2021 May; 76(5):292-301. PubMed ID: 34032861
[TBL] [Abstract][Full Text] [Related]
7. Artificial intelligence in lung cancer diagnosis and prognosis: Current application and future perspective.
Huang S; Yang J; Shen N; Xu Q; Zhao Q
Semin Cancer Biol; 2023 Feb; 89():30-37. PubMed ID: 36682439
[TBL] [Abstract][Full Text] [Related]
8. A systematic review on the use of artificial intelligence in gynecologic imaging - Background, state of the art, and future directions.
Shrestha P; Poudyal B; Yadollahi S; E Wright D; V Gregory A; D Warner J; Korfiatis P; C Green I; L Rassier S; Mariani A; Kim B; Laughlin-Tommaso SK; L Kline T
Gynecol Oncol; 2022 Sep; 166(3):596-605. PubMed ID: 35914978
[TBL] [Abstract][Full Text] [Related]
9. Smart Smile: Revolutionizing Dentistry With Artificial Intelligence.
Dhopte A; Bagde H
Cureus; 2023 Jun; 15(6):e41227. PubMed ID: 37529520
[TBL] [Abstract][Full Text] [Related]
10. Exploring the potential of machine learning in gynecological care: a review.
Khan I; Khare BK
Arch Gynecol Obstet; 2024 Apr; ():. PubMed ID: 38625543
[TBL] [Abstract][Full Text] [Related]
11. Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990-2022).
Sheehy J; Rutledge H; Acharya UR; Loh HW; Gururajan R; Tao X; Zhou X; Li Y; Gurney T; Kondalsamy-Chennakesavan S
Artif Intell Med; 2023 May; 139():102536. PubMed ID: 37100507
[TBL] [Abstract][Full Text] [Related]
12. Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers.
Chen X; Huo XF; Wu Z; Lu JJ
Chin Med Sci J; 2021 Sep; 36(3):196-203. PubMed ID: 34666872
[TBL] [Abstract][Full Text] [Related]
13. Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer metastases.
Bakrania A; Joshi N; Zhao X; Zheng G; Bhat M
Pharmacol Res; 2023 Mar; 189():106706. PubMed ID: 36813095
[TBL] [Abstract][Full Text] [Related]
14. Machine learning applications in gynecological cancer: A critical review.
Fiste O; Liontos M; Zagouri F; Stamatakos G; Dimopoulos MA
Crit Rev Oncol Hematol; 2022 Nov; 179():103808. PubMed ID: 36087852
[TBL] [Abstract][Full Text] [Related]
15. Role of artificial intelligence in digital pathology for gynecological cancers.
Wang YL; Gao S; Xiao Q; Li C; Grzegorzek M; Zhang YY; Li XH; Kang Y; Liu FH; Huang DH; Gong TT; Wu QJ
Comput Struct Biotechnol J; 2024 Dec; 24():205-212. PubMed ID: 38510535
[TBL] [Abstract][Full Text] [Related]
16. Application of Artificial Intelligence in Acute Coronary Syndrome: A Brief Literature Review.
Wang H; Zu Q; Chen J; Yang Z; Ahmed MA
Adv Ther; 2021 Oct; 38(10):5078-5086. PubMed ID: 34528221
[TBL] [Abstract][Full Text] [Related]
17. Open Data and transparency in artificial intelligence and machine learning: A new era of research.
Rodgers CM; Ellingson SR; Chatterjee P
F1000Res; 2023; 12():387. PubMed ID: 37065505
[TBL] [Abstract][Full Text] [Related]
18. The Application of Artificial Intelligence to Cancer Research: A Comprehensive Guide.
Zadeh Shirazi A; Tofighi M; Gharavi A; Gomez GA
Technol Cancer Res Treat; 2024; 23():15330338241250324. PubMed ID: 38775067
[TBL] [Abstract][Full Text] [Related]
19. Artificial Intelligence-Powered Mammography: Navigating the Landscape of Deep Learning for Breast Cancer Detection.
Al Muhaisen S; Safi O; Ulayan A; Aljawamis S; Fakhoury M; Baydoun H; Abuquteish D
Cureus; 2024 Mar; 16(3):e56945. PubMed ID: 38665752
[TBL] [Abstract][Full Text] [Related]
20. Artificial Intelligence Techniques That May Be Applied to Primary Care Data to Facilitate Earlier Diagnosis of Cancer: Systematic Review.
Jones OT; Calanzani N; Saji S; Duffy SW; Emery J; Hamilton W; Singh H; de Wit NJ; Walter FM
J Med Internet Res; 2021 Mar; 23(3):e23483. PubMed ID: 33656443
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
