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 *

155 related articles for article (PubMed ID: 30325645)

  • 1. Will machine learning end the viability of radiology as a thriving medical specialty?
    Chan S; Siegel EL
    Br J Radiol; 2019 Feb; 92(1094):20180416. PubMed ID: 30325645
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine Learning in Radiology: Applications Beyond Image Interpretation.
    Lakhani P; Prater AB; Hutson RK; Andriole KP; Dreyer KJ; Morey J; Prevedello LM; Clark TJ; Geis JR; Itri JN; Hawkins CM
    J Am Coll Radiol; 2018 Feb; 15(2):350-359. PubMed ID: 29158061
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Implementing Machine Learning in Radiology Practice and Research.
    Kohli M; Prevedello LM; Filice RW; Geis JR
    AJR Am J Roentgenol; 2017 Apr; 208(4):754-760. PubMed ID: 28125274
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial Intelligence and Machine Learning in Radiology: Current State and Considerations for Routine Clinical Implementation.
    Wichmann JL; Willemink MJ; De Cecco CN
    Invest Radiol; 2020 Sep; 55(9):619-627. PubMed ID: 32776769
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Machine learning and radiology.
    Wang S; Summers RM
    Med Image Anal; 2012 Jul; 16(5):933-51. PubMed ID: 22465077
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial intelligence in radiology.
    Hosny A; Parmar C; Quackenbush J; Schwartz LH; Aerts HJWL
    Nat Rev Cancer; 2018 Aug; 18(8):500-510. PubMed ID: 29777175
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. When Machines Think: Radiology's Next Frontier.
    Dreyer KJ; Geis JR
    Radiology; 2017 Dec; 285(3):713-718. PubMed ID: 29155639
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. Cultural and Creative Product Design and Image Recognition Based on Deep Learning.
    Li R; Wang C
    Comput Intell Neurosci; 2022; 2022():7256584. PubMed ID: 35865496
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Proceedings from the First Global Artificial Intelligence in Gastroenterology and Endoscopy Summit.
    Parasa S; Wallace M; Bagci U; Antonino M; Berzin T; Byrne M; Celik H; Farahani K; Golding M; Gross S; Jamali V; Mendonca P; Mori Y; Ninh A; Repici A; Rex D; Skrinak K; Thakkar SJ; van Hooft JE; Vargo J; Yu H; Xu Z; Sharma P
    Gastrointest Endosc; 2020 Oct; 92(4):938-945.e1. PubMed ID: 32343978
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Artificial intelligence in medical imaging of the liver.
    Zhou LQ; Wang JY; Yu SY; Wu GG; Wei Q; Deng YB; Wu XL; Cui XW; Dietrich CF
    World J Gastroenterol; 2019 Feb; 25(6):672-682. PubMed ID: 30783371
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automation, machine learning, and artificial intelligence in echocardiography: A brave new world.
    Gandhi S; Mosleh W; Shen J; Chow CM
    Echocardiography; 2018 Sep; 35(9):1402-1418. PubMed ID: 29974498
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial Intelligence in Diagnostic Radiology: Where Do We Stand, Challenges, and Opportunities.
    Moawad AW; Fuentes DT; ElBanan MG; Shalaby AS; Guccione J; Kamel S; Jensen CT; Elsayes KM
    J Comput Assist Tomogr; 2022 Jan-Feb 01; 46(1):78-90. PubMed ID: 35027520
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.