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 *

143 related articles for article (PubMed ID: 36543352)

  • 1. Can artificial intelligence pass the Fellowship of the Royal College of Radiologists examination? Multi-reader diagnostic accuracy study.
    Shelmerdine SC; Martin H; Shirodkar K; Shamshuddin S; Weir-McCall JR;
    BMJ; 2022 Dec; 379():e072826. PubMed ID: 36543352
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Could ChatGPT Pass the UK Radiology Fellowship Examinations?
    Ariyaratne S; Jenko N; Mark Davies A; Iyengar KP; Botchu R
    Acad Radiol; 2024 May; 31(5):2178-2182. PubMed ID: 38160089
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Beyond the
    Elmahdy M; Sebro R
    AJR Am J Roentgenol; 2023 Oct; 221(4):555. PubMed ID: 36856302
    [No Abstract]   [Full Text] [Related]  

  • 4. Artificial Intelligence Algorithm Detecting Lung Infection in Supine Chest Radiographs of Critically Ill Patients With a Diagnostic Accuracy Similar to Board-Certified Radiologists.
    Rueckel J; Kunz WG; Hoppe BF; Patzig M; Notohamiprodjo M; Meinel FG; Cyran CC; Ingrisch M; Ricke J; Sabel BO
    Crit Care Med; 2020 Jul; 48(7):e574-e583. PubMed ID: 32433121
    [TBL] [Abstract][Full Text] [Related]  

  • 5. AI vs FRCR: What it means for the future.
    Ranjan A; Parpaleix A; Cardoso J; Adeleke S
    Eur J Radiol; 2023 Aug; 165():110918. PubMed ID: 37311341
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Augmenting lung cancer diagnosis on chest radiographs: positioning artificial intelligence to improve radiologist performance.
    Tam MDBS; Dyer T; Dissez G; Morgan TN; Hughes M; Illes J; Rasalingham R; Rasalingham S
    Clin Radiol; 2021 Aug; 76(8):607-614. PubMed ID: 33993997
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial Intelligence Algorithm Improves Radiologist Performance in Skeletal Age Assessment: A Prospective Multicenter Randomized Controlled Trial.
    Eng DK; Khandwala NB; Long J; Fefferman NR; Lala SV; Strubel NA; Milla SS; Filice RW; Sharp SE; Towbin AJ; Francavilla ML; Kaplan SL; Ecklund K; Prabhu SP; Dillon BJ; Everist BM; Anton CG; Bittman ME; Dennis R; Larson DB; Seekins JM; Silva CT; Zandieh AR; Langlotz CP; Lungren MP; Halabi SS
    Radiology; 2021 Dec; 301(3):692-699. PubMed ID: 34581608
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Artificial intelligence system for identification of false-negative interpretations in chest radiographs.
    Hwang EJ; Park J; Hong W; Lee HJ; Choi H; Kim H; Nam JG; Goo JM; Yoon SH; Lee CH; Park CM
    Eur Radiol; 2022 Jul; 32(7):4468-4478. PubMed ID: 35195744
    [TBL] [Abstract][Full Text] [Related]  

  • 9. AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset.
    Yoo H; Lee SH; Arru CD; Doda Khera R; Singh R; Siebert S; Kim D; Lee Y; Park JH; Eom HJ; Digumarthy SR; Kalra MK
    Eur Radiol; 2021 Dec; 31(12):9664-9674. PubMed ID: 34089072
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The Fellowship of the Royal College of Radiologists (FRCR) examination: a review of the evidence.
    Booth TC; Martins RDM; McKnight L; Courtney K; Malliwal R
    Clin Radiol; 2018 Dec; 73(12):992-998. PubMed ID: 30322706
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Artificial intelligence-supported lung cancer detection by multi-institutional readers with multi-vendor chest radiographs: a retrospective clinical validation study.
    Ueda D; Yamamoto A; Shimazaki A; Walston SL; Matsumoto T; Izumi N; Tsukioka T; Komatsu H; Inoue H; Kabata D; Nishiyama N; Miki Y
    BMC Cancer; 2021 Oct; 21(1):1120. PubMed ID: 34663260
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial intelligence in orthopaedics: can Chat Generative Pre-trained Transformer (ChatGPT) pass Section 1 of the Fellowship of the Royal College of Surgeons (Trauma & Orthopaedics) examination?
    Cuthbert R; Simpson AI
    Postgrad Med J; 2023 Sep; 99(1176):1110-1114. PubMed ID: 37410674
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An Artificial Intelligence-Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study.
    Homayounieh F; Digumarthy S; Ebrahimian S; Rueckel J; Hoppe BF; Sabel BO; Conjeti S; Ridder K; Sistermanns M; Wang L; Preuhs A; Ghesu F; Mansoor A; Moghbel M; Botwin A; Singh R; Cartmell S; Patti J; Huemmer C; Fieselmann A; Joerger C; Mirshahzadeh N; Muse V; Kalra M
    JAMA Netw Open; 2021 Dec; 4(12):e2141096. PubMed ID: 34964851
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography.
    Bernstein MH; Atalay MK; Dibble EH; Maxwell AWP; Karam AR; Agarwal S; Ward RC; Healey TT; Baird GL
    Eur Radiol; 2023 Nov; 33(11):8263-8269. PubMed ID: 37266657
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Assessment of an artificial intelligence aid for the detection of appendicular skeletal fractures in children and young adults by senior and junior radiologists.
    Nguyen T; Maarek R; Hermann AL; Kammoun A; Marchi A; Khelifi-Touhami MR; Collin M; Jaillard A; Kompel AJ; Hayashi D; Guermazi A; Le Pointe HD
    Pediatr Radiol; 2022 Oct; 52(11):2215-2226. PubMed ID: 36169667
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Chest radiographs versus CT for the detection of rib fractures in children (DRIFT): a diagnostic accuracy observational study.
    Shelmerdine SC; Langan D; Hutchinson JC; Hickson M; Pawley K; Suich J; Palm L; Sebire NJ; Wade A; Arthurs OJ;
    Lancet Child Adolesc Health; 2018 Nov; 2(11):802-811. PubMed ID: 30249541
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The FRCR 2B examination: a survey of candidate perceptions and experiences.
    Yeung A; Booth TC; Jacob K; McCoubrie P; McKnight L
    Clin Radiol; 2011 May; 66(5):412-9. PubMed ID: 21316040
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study.
    van Winkel SL; Rodríguez-Ruiz A; Appelman L; Gubern-Mérida A; Karssemeijer N; Teuwen J; Wanders AJT; Sechopoulos I; Mann RM
    Eur Radiol; 2021 Nov; 31(11):8682-8691. PubMed ID: 33948701
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial Intelligence System for Automatic Quantitative Analysis and Radiology Reporting of Leg Length Radiographs.
    Larson N; Nguyen C; Do B; Kaul A; Larson A; Wang S; Wang E; Bultman E; Stevens K; Pai J; Ha A; Boutin R; Fredericson M; Do L; Fang C
    J Digit Imaging; 2022 Dec; 35(6):1494-1505. PubMed ID: 35794502
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability.
    Tajmir SH; Lee H; Shailam R; Gale HI; Nguyen JC; Westra SJ; Lim R; Yune S; Gee MS; Do S
    Skeletal Radiol; 2019 Feb; 48(2):275-283. PubMed ID: 30069585
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.