406 related articles for article (PubMed ID: 35243281)
1. Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction.
Nam D; Chapiro J; Paradis V; Seraphin TP; Kather JN
JHEP Rep; 2022 Apr; 4(4):100443. PubMed ID: 35243281
[TBL] [Abstract][Full Text] [Related]
2. Artificial Intelligence in Hepatology- Ready for the Primetime.
Kalapala R; Rughwani H; Reddy DN
J Clin Exp Hepatol; 2023; 13(1):149-161. PubMed ID: 36647407
[TBL] [Abstract][Full Text] [Related]
3. Artificial intelligence in precision medicine in hepatology.
Su TH; Wu CH; Kao JH
J Gastroenterol Hepatol; 2021 Mar; 36(3):569-580. PubMed ID: 33709606
[TBL] [Abstract][Full Text] [Related]
4. Artificial intelligence and machine learning in nephropathology.
Becker JU; Mayerich D; Padmanabhan M; Barratt J; Ernst A; Boor P; Cicalese PA; Mohan C; Nguyen HV; Roysam B
Kidney Int; 2020 Jul; 98(1):65-75. PubMed ID: 32475607
[TBL] [Abstract][Full Text] [Related]
5. Artificial Intelligence Applications in Hepatology.
Schattenberg JM; Chalasani N; Alkhouri N
Clin Gastroenterol Hepatol; 2023 Jul; 21(8):2015-2025. PubMed ID: 37088460
[TBL] [Abstract][Full Text] [Related]
6. Artificial Intelligence-Based Traditional Chinese Medicine Assistive Diagnostic System: Validation Study.
Zhang H; Ni W; Li J; Zhang J
JMIR Med Inform; 2020 Jun; 8(6):e17608. PubMed ID: 32538797
[TBL] [Abstract][Full Text] [Related]
7. Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology.
Yoshida H; Kiyuna T
World J Gastroenterol; 2021 Jun; 27(21):2818-2833. PubMed ID: 34135556
[TBL] [Abstract][Full Text] [Related]
8. Prognostic role of artificial intelligence among patients with hepatocellular cancer: A systematic review.
Lai Q; Spoletini G; Mennini G; Laureiro ZL; Tsilimigras DI; Pawlik TM; Rossi M
World J Gastroenterol; 2020 Nov; 26(42):6679-6688. PubMed ID: 33268955
[TBL] [Abstract][Full Text] [Related]
9. Artificial Intelligence and liver: Opportunities and barriers.
Balsano C; Burra P; Duvoux C; Alisi A; Piscaglia F; Gerussi A;
Dig Liver Dis; 2023 Nov; 55(11):1455-1461. PubMed ID: 37718227
[TBL] [Abstract][Full Text] [Related]
10. The Use of Artificial Intelligence in the Liver Histopathology Field: A Systematic Review.
Grignaffini F; Barbuto F; Troiano M; Piazzo L; Simeoni P; Mangini F; De Stefanis C; Onetti Muda A; Frezza F; Alisi A
Diagnostics (Basel); 2024 Feb; 14(4):. PubMed ID: 38396427
[TBL] [Abstract][Full Text] [Related]
11. Application of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma: A review.
Jiménez Pérez M; Grande RG
World J Gastroenterol; 2020 Oct; 26(37):5617-5628. PubMed ID: 33088156
[TBL] [Abstract][Full Text] [Related]
12. Predicting gene mutation status via artificial intelligence technologies based on multimodal integration (MMI) to advance precision oncology.
Shao J; Ma J; Zhang Q; Li W; Wang C
Semin Cancer Biol; 2023 Jun; 91():1-15. PubMed ID: 36801447
[TBL] [Abstract][Full Text] [Related]
13. Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence.
Tariq A; Purkayastha S; Padmanaban GP; Krupinski E; Trivedi H; Banerjee I; Gichoya JW
J Am Coll Radiol; 2020 Nov; 17(11):1371-1381. PubMed ID: 33153541
[TBL] [Abstract][Full Text] [Related]
14. Artificial intelligence: A review of current applications in hepatocellular carcinoma imaging.
Pellat A; Barat M; Coriat R; Soyer P; Dohan A
Diagn Interv Imaging; 2023 Jan; 104(1):24-36. PubMed ID: 36272931
[TBL] [Abstract][Full Text] [Related]
15. Potentials of AI in medical image analysis in Gastroenterology and Hepatology.
Chen H; Sung JJY
J Gastroenterol Hepatol; 2021 Jan; 36(1):31-38. PubMed ID: 33140875
[TBL] [Abstract][Full Text] [Related]
16. Artificial intelligence for the prevention and clinical management of hepatocellular carcinoma.
Calderaro J; Seraphin TP; Luedde T; Simon TG
J Hepatol; 2022 Jun; 76(6):1348-1361. PubMed ID: 35589255
[TBL] [Abstract][Full Text] [Related]
17. Non-Alcoholic Fatty Liver Disease: Implementing Complete Automated Diagnosis and Staging. A Systematic Review.
Popa SL; Ismaiel A; Cristina P; Cristina M; Chiarioni G; David L; Dumitrascu DL
Diagnostics (Basel); 2021 Jun; 11(6):. PubMed ID: 34204822
[TBL] [Abstract][Full Text] [Related]
18. The mathematics of erythema: Development of machine learning models for artificial intelligence assisted measurement and severity scoring of radiation induced dermatitis.
Ranjan R; Partl R; Erhart R; Kurup N; Schnidar H
Comput Biol Med; 2021 Dec; 139():104952. PubMed ID: 34739967
[TBL] [Abstract][Full Text] [Related]
19. Artificial intelligence in prediction of non-alcoholic fatty liver disease and fibrosis.
Wong GL; Yuen PC; Ma AJ; Chan AW; Leung HH; Wong VW
J Gastroenterol Hepatol; 2021 Mar; 36(3):543-550. PubMed ID: 33709607
[TBL] [Abstract][Full Text] [Related]
20. Application and potential of artificial intelligence in neonatal medicine.
Kwok TC; Henry C; Saffaran S; Meeus M; Bates D; Van Laere D; Boylan G; Boardman JP; Sharkey D
Semin Fetal Neonatal Med; 2022 Oct; 27(5):101346. PubMed ID: 35473694
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]