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 *

326 related articles for article (PubMed ID: 33211147)

  • 41. Artificial Intelligence and Radiology in Singapore: Championing a New Age of Augmented Imaging for Unsurpassed Patient Care.
    Liew CJ; Krishnaswamy P; Cheng LT; Tan CH; Poh AC; Lim TC
    Ann Acad Med Singap; 2019 Jan; 48(1):16-24. PubMed ID: 30788490
    [TBL] [Abstract][Full Text] [Related]  

  • 42. CT and MR imaging prior to transcatheter aortic valve implantation: standardisation of scanning protocols, measurements and reporting-a consensus document by the European Society of Cardiovascular Radiology (ESCR).
    Francone M; Budde RPJ; Bremerich J; Dacher JN; Loewe C; Wolf F; Natale L; Pontone G; Redheuil A; Vliegenthart R; Nikolaou K; Gutberlet M; Salgado R
    Eur Radiol; 2020 May; 30(5):2627-2650. PubMed ID: 31489471
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Use of Machine Learning to Identify Follow-Up Recommendations in Radiology Reports.
    Carrodeguas E; Lacson R; Swanson W; Khorasani R
    J Am Coll Radiol; 2019 Mar; 16(3):336-343. PubMed ID: 30600162
    [TBL] [Abstract][Full Text] [Related]  

  • 44. RSNA-MICCAI Panel Discussion: Machine Learning for Radiology from Challenges to Clinical Applications.
    Mongan J; Kalpathy-Cramer J; Flanders A; George Linguraru M
    Radiol Artif Intell; 2021 Sep; 3(5):e210118. PubMed ID: 34617032
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement.
    Geis JR; Brady A; Wu CC; Spencer J; Ranschaert E; Jaremko JL; Langer SG; Kitts AB; Birch J; Shields WF; van den Hoven van Genderen R; Kotter E; Gichoya JW; Cook TS; Morgan MB; Tang A; Safdar NM; Kohli M
    Insights Imaging; 2019 Oct; 10(1):101. PubMed ID: 31571015
    [TBL] [Abstract][Full Text] [Related]  

  • 46. 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]  

  • 47. Machine Learning and Deep Neural Networks in Thoracic and Cardiovascular Imaging.
    Retson TA; Besser AH; Sall S; Golden D; Hsiao A
    J Thorac Imaging; 2019 May; 34(3):192-201. PubMed ID: 31009397
    [TBL] [Abstract][Full Text] [Related]  

  • 48. From Machine Learning to Artificial Intelligence Applications in Cardiac Care.
    Tsay D; Patterson C
    Circulation; 2018 Nov; 138(22):2569-2575. PubMed ID: 30571349
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Role of Big Data and Machine Learning in Diagnostic Decision Support in Radiology.
    Syeda-Mahmood T
    J Am Coll Radiol; 2018 Mar; 15(3 Pt B):569-576. PubMed ID: 29502585
    [TBL] [Abstract][Full Text] [Related]  

  • 50. The 2006 ACR Forum: cardiovascular imaging: learning from the past, strategies for the future.
    Gunderman RB; Weinreb JC; Borgstede JP; Hilman BJ; Neiman HL
    J Am Coll Radiol; 2007 Jan; 4(1):24-31. PubMed ID: 17412221
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Machine Learning for the Interventional Radiologist.
    Meek RD; Lungren MP; Gichoya JW
    AJR Am J Roentgenol; 2019 Oct; 213(4):782-784. PubMed ID: 31166764
    [No Abstract]   [Full Text] [Related]  

  • 52. [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]  

  • 53. Artificial intelligence in cardiovascular medicine.
    Ranka S; Reddy M; Noheria A
    Curr Opin Cardiol; 2021 Jan; 36(1):26-35. PubMed ID: 33060388
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Acute adverse events in cardiac MR imaging with gadolinium-based contrast agents: results from the European Society of Cardiovascular Radiology (ESCR) MRCT Registry in 72,839 patients.
    Uhlig J; Lücke C; Vliegenthart R; Loewe C; Grothoff M; Schuster A; Lurz P; Jacquier A; Francone M; Zapf A; Schülke C; ; May MS; Bremerich J; Lotz J; Gutberlet M;
    Eur Radiol; 2019 Jul; 29(7):3686-3695. PubMed ID: 31041566
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Open access image repositories: high-quality data to enable machine learning research.
    Prior F; Almeida J; Kathiravelu P; Kurc T; Smith K; Fitzgerald TJ; Saltz J
    Clin Radiol; 2020 Jan; 75(1):7-12. PubMed ID: 31040006
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Machine learning solutions in radiology: does the emperor have no clothes?
    Cuocolo R; Imbriaco M
    Eur Radiol; 2021 Jun; 31(6):3783-3785. PubMed ID: 33856518
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Machine learning in GI endoscopy: practical guidance in how to interpret a novel field.
    van der Sommen F; de Groof J; Struyvenberg M; van der Putten J; Boers T; Fockens K; Schoon EJ; Curvers W; de With P; Mori Y; Byrne M; Bergman JJGHM
    Gut; 2020 Nov; 69(11):2035-2045. PubMed ID: 32393540
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Artificial intelligence in radiology: who's afraid of the big bad wolf?
    Gallix B; Chong J
    Eur Radiol; 2019 Apr; 29(4):1637-1639. PubMed ID: 30734848
    [TBL] [Abstract][Full Text] [Related]  

  • 59. 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]  

  • 60. Findings from machine learning in clinical medical imaging applications - Lessons for translation to the forensic setting.
    Peña-Solórzano CA; Albrecht DW; Bassed RB; Burke MD; Dimmock MR
    Forensic Sci Int; 2020 Nov; 316():110538. PubMed ID: 33120319
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 17.