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 *

157 related articles for article (PubMed ID: 38504016)

  • 1. Heterogeneity and predictors of the effects of AI assistance on radiologists.
    Yu F; Moehring A; Banerjee O; Salz T; Agarwal N; Rajpurkar P
    Nat Med; 2024 Mar; 30(3):837-849. PubMed ID: 38504016
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study.
    Yacoub B; Varga-Szemes A; Schoepf UJ; Kabakus IM; Baruah D; Burt JR; Aquino GJ; Sullivan AK; Doherty JO; Hoelzer P; Sperl J; Emrich T
    AJR Am J Roentgenol; 2022 Nov; 219(5):743-751. PubMed ID: 35703413
    [No Abstract]   [Full Text] [Related]  

  • 3. Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study.
    Jones CM; Danaher L; Milne MR; Tang C; Seah J; Oakden-Rayner L; Johnson A; Buchlak QD; Esmaili N
    BMJ Open; 2021 Dec; 11(12):e052902. PubMed ID: 34930738
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The Effects of Artificial Intelligence Assistance on the Radiologists' Assessment of Lung Nodules on CT Scans: A Systematic Review.
    Ewals LJS; van der Wulp K; van den Borne BEEM; Pluyter JR; Jacobs I; Mavroeidis D; van der Sommen F; Nederend J
    J Clin Med; 2023 May; 12(10):. PubMed ID: 37240643
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Current practical experience with artificial intelligence in clinical radiology: a survey of the European Society of Radiology.
    European Society of Radiology (ESR)
    Insights Imaging; 2022 Jun; 13(1):107. PubMed ID: 35727355
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Physicians' preferences and willingness to pay for artificial intelligence-based assistance tools: a discrete choice experiment among german radiologists.
    von Wedel P; Hagist C
    BMC Health Serv Res; 2022 Mar; 22(1):398. PubMed ID: 35346183
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Stakeholders' perspectives on the future of artificial intelligence in radiology: a scoping review.
    Yang L; Ene IC; Arabi Belaghi R; Koff D; Stein N; Santaguida PL
    Eur Radiol; 2022 Mar; 32(3):1477-1495. PubMed ID: 34545445
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents.
    Wu JT; Wong KCL; Gur Y; Ansari N; Karargyris A; Sharma A; Morris M; Saboury B; Ahmad H; Boyko O; Syed A; Jadhav A; Wang H; Pillai A; Kashyap S; Moradi M; Syeda-Mahmood T
    JAMA Netw Open; 2020 Oct; 3(10):e2022779. PubMed ID: 33034642
    [TBL] [Abstract][Full Text] [Related]  

  • 10. AI-clinician collaboration via disagreement prediction: A decision pipeline and retrospective analysis of real-world radiologist-AI interactions.
    Sanchez M; Alford K; Krishna V; Huynh TM; Nguyen CDT; Lungren MP; Truong SQH; Rajpurkar P
    Cell Rep Med; 2023 Oct; 4(10):101207. PubMed ID: 37769656
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Non-radiologist perception of the use of artificial intelligence (AI) in diagnostic medical imaging reports.
    Lim SS; Phan TD; Law M; Goh GS; Moriarty HK; Lukies MW; Joseph T; Clements W
    J Med Imaging Radiat Oncol; 2022 Dec; 66(8):1029-1034. PubMed ID: 35191186
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms.
    Qin ZZ; Ahmed S; Sarker MS; Paul K; Adel ASS; Naheyan T; Barrett R; Banu S; Creswell J
    Lancet Digit Health; 2021 Sep; 3(9):e543-e554. PubMed ID: 34446265
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Artificial Intelligence: A Private Practice Perspective.
    Kottler N
    J Am Coll Radiol; 2020 Nov; 17(11):1398-1404. PubMed ID: 33010212
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Evaluation of the impact of artificial intelligence-assisted image interpretation on the diagnostic performance of clinicians in identifying pneumothoraces on plain chest X-ray: a multi-case multi-reader study.
    Novak A; Ather S; Gill A; Aylward P; Maskell G; Cowell GW; Espinosa Morgado AT; Duggan T; Keevill M; Gamble O; Akrama O; Belcher E; Taberham R; Hallifax R; Bahra J; Banerji A; Bailey J; James A; Ansaripour A; Spence N; Wrightson J; Jarral W; Barry S; Bhatti S; Astley K; Shadmaan A; Ghelman S; Baenen A; Oke J; Bloomfield C; Johnson H; Beggs M; Gleeson F
    Emerg Med J; 2024 Sep; 41(10):602-609. PubMed ID: 39009424
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms.
    Schaffter T; Buist DSM; Lee CI; Nikulin Y; Ribli D; Guan Y; Lotter W; Jie Z; Du H; Wang S; Feng J; Feng M; Kim HE; Albiol F; Albiol A; Morrell S; Wojna Z; Ahsen ME; Asif U; Jimeno Yepes A; Yohanandan S; Rabinovici-Cohen S; Yi D; Hoff B; Yu T; Chaibub Neto E; Rubin DL; Lindholm P; Margolies LR; McBride RB; Rothstein JH; Sieh W; Ben-Ari R; Harrer S; Trister A; Friend S; Norman T; Sahiner B; Strand F; Guinney J; Stolovitzky G; ; Mackey L; Cahoon J; Shen L; Sohn JH; Trivedi H; Shen Y; Buturovic L; Pereira JC; Cardoso JS; Castro E; Kalleberg KT; Pelka O; Nedjar I; Geras KJ; Nensa F; Goan E; Koitka S; Caballero L; Cox DD; Krishnaswamy P; Pandey G; Friedrich CM; Perrin D; Fookes C; Shi B; Cardoso Negrie G; Kawczynski M; Cho K; Khoo CS; Lo JY; Sorensen AG; Jung H
    JAMA Netw Open; 2020 Mar; 3(3):e200265. PubMed ID: 32119094
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning assistance for tuberculosis diagnosis with chest radiography in low-resource settings.
    Nijiati M; Zhang Z; Abulizi A; Miao H; Tuluhong A; Quan S; Guo L; Xu T; Zou X
    J Xray Sci Technol; 2021; 29(5):785-796. PubMed ID: 34219703
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Artificial intelligence-based prediction of cervical lymph node metastasis in papillary thyroid cancer with CT.
    Wang C; Yu P; Zhang H; Han X; Song Z; Zheng G; Wang G; Zheng H; Mao N; Song X
    Eur Radiol; 2023 Oct; 33(10):6828-6840. PubMed ID: 37178202
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Are the Pilots Onboard? Equipping Radiologists for Clinical Implementation of AI.
    Shafique U; Chaudhry US; Towbin AJ
    J Digit Imaging; 2023 Dec; 36(6):2329-2334. PubMed ID: 37556028
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The influence of artificial intelligence assistance on the diagnostic performance of CCTA for coronary stenosis for radiologists with different levels of experience.
    Han X; He Y; Luo N; Zheng D; Hong M; Wang Z; Yang Z
    Acta Radiol; 2023 Feb; 64(2):496-507. PubMed ID: 35389276
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.