653 related articles for article (PubMed ID: 34975094)
1. Artificial intelligence in cancer diagnostics and therapy: current perspectives.
Majumder A; Sen D
Indian J Cancer; 2021; 58(4):481-492. PubMed ID: 34975094
[TBL] [Abstract][Full Text] [Related]
2. Artificial intelligence and the radiologist: the future in the Armed Forces Medical Services.
Sen D; Chakrabarti R; Chatterjee S; Grewal DS; Manrai K
BMJ Mil Health; 2020 Aug; 166(4):254-256. PubMed ID: 30709922
[TBL] [Abstract][Full Text] [Related]
3. Emerging role of deep learning-based artificial intelligence in tumor pathology.
Jiang Y; Yang M; Wang S; Li X; Sun Y
Cancer Commun (Lond); 2020 Apr; 40(4):154-166. PubMed ID: 32277744
[TBL] [Abstract][Full Text] [Related]
4. Small Bowel Capsule Endoscopy and artificial intelligence: First or second reader?
Piccirelli S; Milluzzo SM; Bizzotto A; Cesaro P; Pecere S; Spada C
Best Pract Res Clin Gastroenterol; 2021; 52-53():101742. PubMed ID: 34172256
[TBL] [Abstract][Full Text] [Related]
5. The use of artificial intelligence, machine learning and deep learning in oncologic histopathology.
Sultan AS; Elgharib MA; Tavares T; Jessri M; Basile JR
J Oral Pathol Med; 2020 Oct; 49(9):849-856. PubMed ID: 32449232
[TBL] [Abstract][Full Text] [Related]
6. Personalized Breast Cancer Treatments Using Artificial Intelligence in Radiomics and Pathomics.
Tran WT; Jerzak K; Lu FI; Klein J; Tabbarah S; Lagree A; Wu T; Rosado-Mendez I; Law E; Saednia K; Sadeghi-Naini A
J Med Imaging Radiat Sci; 2019 Dec; 50(4 Suppl 2):S32-S41. PubMed ID: 31447230
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Prime Time for Artificial Intelligence in Interventional Radiology.
Seah J; Boeken T; Sapoval M; Goh GS
Cardiovasc Intervent Radiol; 2022 Mar; 45(3):283-289. PubMed ID: 35031822
[TBL] [Abstract][Full Text] [Related]
9. Evaluating predictive models in reproductive medicine.
Curchoe CL; Flores-Saiffe Farias A; Mendizabal-Ruiz G; Chavez-Badiola A
Fertil Steril; 2020 Nov; 114(5):921-926. PubMed ID: 33160514
[TBL] [Abstract][Full Text] [Related]
10. Artificial Intelligence in Oncology: Current Capabilities, Future Opportunities, and Ethical Considerations.
Shreve JT; Khanani SA; Haddad TC
Am Soc Clin Oncol Educ Book; 2022 Apr; 42():1-10. PubMed ID: 35687826
[TBL] [Abstract][Full Text] [Related]
11. Is Artificial Intelligence (AI) a Pipe Dream? Why Legal Issues Present Significant Hurdles to AI Autonomy.
Mezrich JL
AJR Am J Roentgenol; 2022 Jul; 219(1):152-156. PubMed ID: 35138133
[TBL] [Abstract][Full Text] [Related]
12. Predicting cancer outcomes with radiomics and artificial intelligence in radiology.
Bera K; Braman N; Gupta A; Velcheti V; Madabhushi A
Nat Rev Clin Oncol; 2022 Feb; 19(2):132-146. PubMed ID: 34663898
[TBL] [Abstract][Full Text] [Related]
13. Artificial intelligence in adrenal imaging: A critical review of current applications.
Barat M; Gaillard M; Cottereau AS; Fishman EK; Assié G; Jouinot A; Hoeffel C; Soyer P; Dohan A
Diagn Interv Imaging; 2023 Jan; 104(1):37-42. PubMed ID: 36163169
[TBL] [Abstract][Full Text] [Related]
14. Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success.
Thrall JH; Li X; Li Q; Cruz C; Do S; Dreyer K; Brink J
J Am Coll Radiol; 2018 Mar; 15(3 Pt B):504-508. PubMed ID: 29402533
[TBL] [Abstract][Full Text] [Related]
15. Artificial intelligence in oncology.
Shimizu H; Nakayama KI
Cancer Sci; 2020 May; 111(5):1452-1460. PubMed ID: 32133724
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Translation of tissue-based artificial intelligence into clinical practice: from discovery to adoption.
Geaney A; O'Reilly P; Maxwell P; James JA; McArt D; Salto-Tellez M
Oncogene; 2023 Nov; 42(48):3545-3555. PubMed ID: 37875656
[TBL] [Abstract][Full Text] [Related]
18. Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization.
Papadimitroulas P; Brocki L; Christopher Chung N; Marchadour W; Vermet F; Gaubert L; Eleftheriadis V; Plachouris D; Visvikis D; Kagadis GC; Hatt M
Phys Med; 2021 Mar; 83():108-121. PubMed ID: 33765601
[TBL] [Abstract][Full Text] [Related]
19. Artificial intelligence in musculoskeletal oncology imaging: A critical review of current applications.
Lacroix M; Aouad T; Feydy J; Biau D; Larousserie F; Fournier L; Feydy A
Diagn Interv Imaging; 2023 Jan; 104(1):18-23. PubMed ID: 36270953
[TBL] [Abstract][Full Text] [Related]
20. Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology.
Martín Noguerol T; Paulano-Godino F; Martín-Valdivia MT; Menias CO; Luna A
J Am Coll Radiol; 2019 Sep; 16(9 Pt B):1239-1247. PubMed ID: 31492401
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]