BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

329 related articles for article (PubMed ID: 35676054)

  • 1. Artificial Intelligence in Radiology: an introduction to the most important concepts.
    Pérez Del Barrio A; Menéndez Fernández-Miranda P; Sanz Bellón P; Lloret Iglesias L; Rodríguez González D
    Radiologia (Engl Ed); 2022; 64(3):228-236. PubMed ID: 35676054
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Challenges of Radiology education in the era of artificial intelligence.
    Gorospe-Sarasúa L; Muñoz-Olmedo JM; Sendra-Portero F; de Luis-García R
    Radiologia (Engl Ed); 2022; 64(1):54-59. PubMed ID: 35180987
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Barriers to artificial intelligence implementation in radiology practice: What the radiologist needs to know.
    Nair AV; Ramanathan S; Sathiadoss P; Jajodia A; Blair Macdonald D
    Radiologia (Engl Ed); 2022; 64(4):324-332. PubMed ID: 36030080
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Understanding artificial intelligence based radiology studies: CNN architecture.
    Mutasa S; Sun S; Ha R
    Clin Imaging; 2021 Dec; 80():72-76. PubMed ID: 34256218
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI.
    Mazurowski MA; Buda M; Saha A; Bashir MR
    J Magn Reson Imaging; 2019 Apr; 49(4):939-954. PubMed ID: 30575178
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Understanding artificial intelligence based radiology studies: What is overfitting?
    Mutasa S; Sun S; Ha R
    Clin Imaging; 2020 Sep; 65():96-99. PubMed ID: 32387803
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Introduction to Radiomics and Artificial Intelligence: A Primer for Radiologists.
    Haneberg AG; Pierre K; Winter-Reinhold E; Hochhegger B; Peters KR; Grajo J; Arreola M; Asadizanjani N; Bian J; Mancuso A; Forghani R
    Semin Roentgenol; 2023 Apr; 58(2):152-157. PubMed ID: 37087135
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Medical students' perceptions of the impact of artificial intelligence in radiology.
    Caparrós Galán G; Sendra Portero F
    Radiologia (Engl Ed); 2022; 64(6):516-524. PubMed ID: 36402537
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Exploring the Role of Artificial Intelligence in an Emergency and Trauma Radiology Department.
    Jalal S; Parker W; Ferguson D; Nicolaou S
    Can Assoc Radiol J; 2021 Feb; 72(1):167-174. PubMed ID: 32309989
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An Educational Graphical User Interface to Construct Convolutional Neural Networks for Teaching Artificial Intelligence in Radiology.
    Jin H; Wagner MW; Ertl-Wagner B; Khalvati F
    Can Assoc Radiol J; 2023 Aug; 74(3):526-533. PubMed ID: 36475925
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Cybersecurity considerations for radiology departments involved with artificial intelligence.
    Kelly BS; Quinn C; Belton N; Lawlor A; Killeen RP; Burrell J
    Eur Radiol; 2023 Dec; 33(12):8833-8841. PubMed ID: 37418025
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Review of Artificial Intelligence Training Tools and Courses for Radiologists.
    Richardson ML; Adams SJ; Agarwal A; Auffermann WF; Bhattacharya AK; Consul N; Fotos JS; Kelahan LC; Lin C; Lo HS; Nguyen XV; Salkowski LR; Sin JM; Thomas RC; Wassef S; Ikuta I
    Acad Radiol; 2021 Sep; 28(9):1238-1252. PubMed ID: 33714667
    [TBL] [Abstract][Full Text] [Related]  

  • 13. AUR-RRA Review: Logistics of Academic-Industry Partnerships in Artificial Intelligence.
    Spilseth B; McKnight CD; Li MD; Park CJ; Fried JG; Yi PH; Brian JM; Lehman CD; Wang XJ; Phalke V; Pakkal M; Baruah D; Khine PP; Fajardo LL
    Acad Radiol; 2022 Jan; 29(1):119-128. PubMed ID: 34561163
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Challenges of Radiology education in the era of artificial intelligence.
    Gorospe-Sarasúa L; Muñoz-Olmedo JM; Sendra-Portero F; de Luis-García R
    Radiologia (Engl Ed); 2021 May; ():. PubMed ID: 33966817
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Artificial intelligence in radiology: the ecosystem essential to improving patient care.
    Sogani J; Allen B; Dreyer K; McGinty G
    Clin Imaging; 2020 Jan; 59(1):A3-A6. PubMed ID: 31481284
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Quality use of artificial intelligence in medical imaging: What do radiologists need to know?
    Goergen SK; Frazer HM; Reddy S
    J Med Imaging Radiat Oncol; 2022 Mar; 66(2):225-232. PubMed ID: 35243782
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. [Artificial intelligence (AI) in radiology? : Do we need as many radiologists in the future?].
    Bonekamp D; Schlemmer HP
    Urologe A; 2022 Apr; 61(4):392-399. PubMed ID: 35277758
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Artificial intelligence in oral and maxillofacial radiology: what is currently possible?
    Heo MS; Kim JE; Hwang JJ; Han SS; Kim JS; Yi WJ; Park IW
    Dentomaxillofac Radiol; 2021 Mar; 50(3):20200375. PubMed ID: 33197209
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.