These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1773 related articles for article (PubMed ID: 31492401)

  • 1. 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]  

  • 2. 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]  

  • 3. Artificial Intelligence and Clinical Decision Support for Radiologists and Referring Providers.
    Bizzo BC; Almeida RR; Michalski MH; Alkasab TK
    J Am Coll Radiol; 2019 Sep; 16(9 Pt B):1351-1356. PubMed ID: 31492414
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The Application of Machine Learning to Quality Improvement Through the Lens of the Radiology Value Network.
    Makeeva V; Gichoya J; Hawkins CM; Towbin AJ; Heilbrun M; Prater A
    J Am Coll Radiol; 2019 Sep; 16(9 Pt B):1254-1258. PubMed ID: 31492403
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Artificial intelligence in stroke imaging: Current and future perspectives.
    Yedavalli VS; Tong E; Martin D; Yeom KW; Forkert ND
    Clin Imaging; 2021 Jan; 69():246-254. PubMed ID: 32980785
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Workflow Applications of Artificial Intelligence in Radiology and an Overview of Available Tools.
    Kapoor N; Lacson R; Khorasani R
    J Am Coll Radiol; 2020 Nov; 17(11):1363-1370. PubMed ID: 33153540
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial Intelligence and Radiology: A Social Media Perspective.
    Goldberg JE; Rosenkrantz AB
    Curr Probl Diagn Radiol; 2019; 48(4):308-311. PubMed ID: 30143386
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Interventional Radiology ex-machina: impact of Artificial Intelligence on practice.
    Gurgitano M; Angileri SA; Rodà GM; Liguori A; Pandolfi M; Ierardi AM; Wood BJ; Carrafiello G
    Radiol Med; 2021 Jul; 126(7):998-1006. PubMed ID: 33861421
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology.
    Tang A; Tam R; Cadrin-Chênevert A; Guest W; Chong J; Barfett J; Chepelev L; Cairns R; Mitchell JR; Cicero MD; Poudrette MG; Jaremko JL; Reinhold C; Gallix B; Gray B; Geis R;
    Can Assoc Radiol J; 2018 May; 69(2):120-135. PubMed ID: 29655580
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Artificial Intelligence May Cause a Significant Disruption to the Radiology Workforce.
    Mazurowski MA
    J Am Coll Radiol; 2019 Aug; 16(8):1077-1082. PubMed ID: 30975611
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Use of artificial intelligence in emergency radiology: An overview of current applications, challenges, and opportunities.
    Al-Dasuqi K; Johnson MH; Cavallo JJ
    Clin Imaging; 2022 Sep; 89():61-67. PubMed ID: 35716432
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations.
    Recht MP; Dewey M; Dreyer K; Langlotz C; Niessen W; Prainsack B; Smith JJ
    Eur Radiol; 2020 Jun; 30(6):3576-3584. PubMed ID: 32064565
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Is Artificial Intelligence the New Friend for Radiologists? A Review Article.
    Gampala S; Vankeshwaram V; Gadula SSP
    Cureus; 2020 Oct; 12(10):e11137. PubMed ID: 33240726
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Myths and facts about artificial intelligence: why machine- and deep-learning will not replace interventional radiologists.
    Pesapane F; Tantrige P; Patella F; Biondetti P; Nicosia L; Ianniello A; Rossi UG; Carrafiello G; Ierardi AM
    Med Oncol; 2020 Apr; 37(5):40. PubMed ID: 32246300
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Artificial intelligence and machine learning for medical imaging: A technology review.
    Barragán-Montero A; Javaid U; Valdés G; Nguyen D; Desbordes P; Macq B; Willems S; Vandewinckele L; Holmström M; Löfman F; Michiels S; Souris K; Sterpin E; Lee JA
    Phys Med; 2021 Mar; 83():242-256. PubMed ID: 33979715
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Ethical considerations in artificial intelligence.
    Safdar NM; Banja JD; Meltzer CC
    Eur J Radiol; 2020 Jan; 122():108768. PubMed ID: 31786504
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A brief introduction to concepts and applications of artificial intelligence in dental imaging.
    Pauwels R
    Oral Radiol; 2021 Jan; 37(1):153-160. PubMed ID: 32803680
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A survey on the future of radiology among radiologists, medical students and surgeons: Students and surgeons tend to be more skeptical about artificial intelligence and radiologists may fear that other disciplines take over.
    van Hoek J; Huber A; Leichtle A; Härmä K; Hilt D; von Tengg-Kobligk H; Heverhagen J; Poellinger A
    Eur J Radiol; 2019 Dec; 121():108742. PubMed ID: 31734640
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Artificial Intelligence in Radiology - Definition, Potential and Challenges].
    Baessler B
    Praxis (Bern 1994); 2021 Jan; 110(1):48-53. PubMed ID: 33406927
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 89.