203 related articles for article (PubMed ID: 38505883)
21. Artificial intelligence in the interpretation of breast cancer on MRI.
Sheth D; Giger ML
J Magn Reson Imaging; 2020 May; 51(5):1310-1324. PubMed ID: 31343790
[TBL] [Abstract][Full Text] [Related]
22. Challenges and opportunities for artificial intelligence in oncological imaging.
Cheung HMC; Rubin D
Clin Radiol; 2021 Oct; 76(10):728-736. PubMed ID: 33902889
[TBL] [Abstract][Full Text] [Related]
23. Brain Tumor Characterization Using Radiogenomics in Artificial Intelligence Framework.
Jena B; Saxena S; Nayak GK; Balestrieri A; Gupta N; Khanna NN; Laird JR; Kalra MK; Fouda MM; Saba L; Suri JS
Cancers (Basel); 2022 Aug; 14(16):. PubMed ID: 36011048
[TBL] [Abstract][Full Text] [Related]
24. A narrative review on current imaging applications of artificial intelligence and radiomics in oncology: focus on the three most common cancers.
Vicini S; Bortolotto C; Rengo M; Ballerini D; Bellini D; Carbone I; Preda L; Laghi A; Coppola F; Faggioni L
Radiol Med; 2022 Aug; 127(8):819-836. PubMed ID: 35771379
[TBL] [Abstract][Full Text] [Related]
25. Applications of artificial intelligence in neuro-oncology.
Aneja S; Chang E; Omuro A
Curr Opin Neurol; 2019 Dec; 32(6):850-856. PubMed ID: 31609739
[TBL] [Abstract][Full Text] [Related]
26. Artificial intelligence for nuclear medicine in oncology.
Hirata K; Sugimori H; Fujima N; Toyonaga T; Kudo K
Ann Nucl Med; 2022 Feb; 36(2):123-132. PubMed ID: 35028877
[TBL] [Abstract][Full Text] [Related]
27. New trend in artificial intelligence-based assistive technology for thoracic imaging.
Yanagawa M; Ito R; Nozaki T; Fujioka T; Yamada A; Fujita S; Kamagata K; Fushimi Y; Tsuboyama T; Matsui Y; Tatsugami F; Kawamura M; Ueda D; Fujima N; Nakaura T; Hirata K; Naganawa S
Radiol Med; 2023 Oct; 128(10):1236-1249. PubMed ID: 37639191
[TBL] [Abstract][Full Text] [Related]
28. Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care (Review).
Trivizakis E; Papadakis GZ; Souglakos I; Papanikolaou N; Koumakis L; Spandidos DA; Tsatsakis A; Karantanas AH; Marias K
Int J Oncol; 2020 Jul; 57(1):43-53. PubMed ID: 32467997
[TBL] [Abstract][Full Text] [Related]
29. Radiologists' perspectives on the workflow integration of an artificial intelligence-based computer-aided detection system: A qualitative study.
Wenderott K; Krups J; Luetkens JA; Weigl M
Appl Ergon; 2024 May; 117():104243. PubMed ID: 38306741
[TBL] [Abstract][Full Text] [Related]
30. [Applications of Artificial Intelligence in Pancreatic Cystic Lesion Imaging].
Deng WY; Xie FY; Xue HD
Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2024 Apr; 46(2):275-280. PubMed ID: 38686726
[TBL] [Abstract][Full Text] [Related]
31. Clinical impact of artificial intelligence-based solutions on imaging of the pancreas and liver.
Berbís MA; Paulano Godino F; Royuela Del Val J; Alcalá Mata L; Luna A
World J Gastroenterol; 2023 Mar; 29(9):1427-1445. PubMed ID: 36998424
[TBL] [Abstract][Full Text] [Related]
32. Integration of Artificial Intelligence Into Sociotechnical Work Systems-Effects of Artificial Intelligence Solutions in Medical Imaging on Clinical Efficiency: Protocol for a Systematic Literature Review.
Wenderott K; Gambashidze N; Weigl M
JMIR Res Protoc; 2022 Dec; 11(12):e40485. PubMed ID: 36454624
[TBL] [Abstract][Full Text] [Related]
33. Artificial intelligence applications in computed tomography in gastric cancer: a narrative review.
Ma T; Wang H; Ye Z
Transl Cancer Res; 2023 Sep; 12(9):2379-2392. PubMed ID: 37859746
[TBL] [Abstract][Full Text] [Related]
34. Advances in artificial intelligence to predict cancer immunotherapy efficacy.
Xie J; Luo X; Deng X; Tang Y; Tian W; Cheng H; Zhang J; Zou Y; Guo Z; Xie X
Front Immunol; 2022; 13():1076883. PubMed ID: 36685496
[TBL] [Abstract][Full Text] [Related]
35. Cancer care at the time of the fourth industrial revolution: an insight to healthcare professionals' perspectives on cancer care and artificial intelligence.
Hesso I; Kayyali R; Dolton DR; Joo K; Zacharias L; Charalambous A; Lavdaniti M; Stalika E; Ajami T; Acampa W; Boban J; Nabhani-Gebara S
Radiat Oncol; 2023 Oct; 18(1):167. PubMed ID: 37814325
[TBL] [Abstract][Full Text] [Related]
36. Current role of machine learning and radiogenomics in precision neuro-oncology.
Perillo T; de Giorgi M; Papace UM; Serino A; Cuocolo R; Manto A
Explor Target Antitumor Ther; 2023; 4(4):545-555. PubMed ID: 37720347
[TBL] [Abstract][Full Text] [Related]
37. The utilization of artificial intelligence applications to improve breast cancer detection and prognosis.
Alsharif WM
Saudi Med J; 2023 Feb; 44(2):119-127. PubMed ID: 36773967
[TBL] [Abstract][Full Text] [Related]
38. The Role of Artificial Intelligence and Texture Analysis in Interventional Radiological Treatments of Liver Masses: A Narrative Review.
Triggiani S; Contaldo MT; Mastellone G; Cè M; Ierardi AM; Carrafiello G; Cellina M
Crit Rev Oncog; 2024; 29(2):37-52. PubMed ID: 38505880
[TBL] [Abstract][Full Text] [Related]
39. Evolving Role and Translation of Radiomics and Radiogenomics in Adult and Pediatric Neuro-Oncology.
Ak M; Toll SA; Hein KZ; Colen RR; Khatua S
AJNR Am J Neuroradiol; 2022 Jun; 43(6):792-801. PubMed ID: 34649914
[TBL] [Abstract][Full Text] [Related]
40. Artificial intelligence in oncology: current applications and future perspectives.
Luchini C; Pea A; Scarpa A
Br J Cancer; 2022 Jan; 126(1):4-9. PubMed ID: 34837074
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]