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 *

139 related articles for article (PubMed ID: 32734161)

  • 1. Evaluation of an artificial intelligence clinical trial matching system in Australian lung cancer patients.
    Alexander M; Solomon B; Ball DL; Sheerin M; Dankwa-Mullan I; Preininger AM; Jackson GP; Herath DM
    JAMIA Open; 2020 Jul; 3(2):209-215. PubMed ID: 32734161
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of an artificial intelligence-based clinical trial matching system in Chinese patients with hepatocellular carcinoma: a retrospective study.
    Wang K; Cui H; Zhu Y; Hu X; Hong C; Guo Y; An L; Zhang Q; Liu L
    BMC Cancer; 2024 Feb; 24(1):246. PubMed ID: 38388861
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Accuracy of an Artificial Intelligence System for Cancer Clinical Trial Eligibility Screening: Retrospective Pilot Study.
    Haddad T; Helgeson JM; Pomerleau KE; Preininger AM; Roebuck MC; Dankwa-Mullan I; Jackson GP; Goetz MP
    JMIR Med Inform; 2021 Mar; 9(3):e27767. PubMed ID: 33769304
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Increasing the efficiency of trial-patient matching: automated clinical trial eligibility pre-screening for pediatric oncology patients.
    Ni Y; Wright J; Perentesis J; Lingren T; Deleger L; Kaiser M; Kohane I; Solti I
    BMC Med Inform Decis Mak; 2015 Apr; 15():28. PubMed ID: 25881112
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Artificial Intelligence Tool for Optimizing Eligibility Screening for Clinical Trials in a Large Community Cancer Center.
    Beck JT; Rammage M; Jackson GP; Preininger AM; Dankwa-Mullan I; Roebuck MC; Torres A; Holtzen H; Coverdill SE; Williamson MP; Chau Q; Rhee K; Vinegra M
    JCO Clin Cancer Inform; 2020 Jan; 4():50-59. PubMed ID: 31977254
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated classification of eligibility criteria in clinical trials to facilitate patient-trial matching for specific patient populations.
    Zhang K; Demner-Fushman D
    J Am Med Inform Assoc; 2017 Jul; 24(4):781-787. PubMed ID: 28339690
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated Matching of Patients to Clinical Trials: A Patient-Centric Natural Language Processing Approach for Pediatric Leukemia.
    Kaskovich S; Wyatt KD; Oliwa T; Graglia L; Furner B; Lee J; Mayampurath A; Volchenboum SL
    JCO Clin Cancer Inform; 2023 Jul; 7():e2300009. PubMed ID: 37428994
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department.
    Ni Y; Kennebeck S; Dexheimer JW; McAneney CM; Tang H; Lingren T; Li Q; Zhai H; Solti I
    J Am Med Inform Assoc; 2015 Jan; 22(1):166-78. PubMed ID: 25030032
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value.
    Chamberlin J; Kocher MR; Waltz J; Snoddy M; Stringer NFC; Stephenson J; Sahbaee P; Sharma P; Rapaka S; Schoepf UJ; Abadia AF; Sperl J; Hoelzer P; Mercer M; Somayaji N; Aquino G; Burt JR
    BMC Med; 2021 Mar; 19(1):55. PubMed ID: 33658025
    [TBL] [Abstract][Full Text] [Related]  

  • 10. ClinicalTrials.gov as a data source for semi-automated point-of-care trial eligibility screening.
    Pfiffner PB; Oh J; Miller TA; Mandl KD
    PLoS One; 2014; 9(10):e111055. PubMed ID: 25334031
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improving Clinical Trial Participant Prescreening With Artificial Intelligence (AI): A Comparison of the Results of AI-Assisted vs Standard Methods in 3 Oncology Trials.
    Calaprice-Whitty D; Galil K; Salloum W; Zariv A; Jimenez B
    Ther Innov Regul Sci; 2020 Jan; 54(1):69-74. PubMed ID: 32008227
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Combining human and machine intelligence for clinical trial eligibility querying.
    Fang Y; Idnay B; Sun Y; Liu H; Chen Z; Marder K; Xu H; Schnall R; Weng C
    J Am Med Inform Assoc; 2022 Jun; 29(7):1161-1171. PubMed ID: 35426943
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Cohort Selection for Clinical Trials From Longitudinal Patient Records: Text Mining Approach.
    Spasic I; Krzeminski D; Corcoran P; Balinsky A
    JMIR Med Inform; 2019 Oct; 7(4):e15980. PubMed ID: 31674914
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Ground truth generalizability affects performance of the artificial intelligence model in automated vertebral fracture detection on plain lateral radiographs of the spine.
    Chou PH; Jou TH; Wu HH; Yao YC; Lin HH; Chang MC; Wang ST; Lu HH; Chen HH
    Spine J; 2022 Apr; 22(4):511-523. PubMed ID: 34737066
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Diagnostic Performance of Artificial Intelligence-Based Models for the Detection of Early Esophageal Cancers in Barret's Esophagus: A Meta-Analysis of Patient-Based Studies.
    Bhatti KM; Khanzada ZS; Kuzman M; Ali SM; Iftikhar SY; Small P
    Cureus; 2021 Jun; 13(6):e15447. PubMed ID: 34258114
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience.
    Han X; Luo N; Xu L; Cao J; Guo N; He Y; Hong M; Jia X; Wang Z; Yang Z
    BMC Med Imaging; 2022 Feb; 22(1):28. PubMed ID: 35177029
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs.
    Yoo H; Kim KH; Singh R; Digumarthy SR; Kalra MK
    JAMA Netw Open; 2020 Sep; 3(9):e2017135. PubMed ID: 32970157
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Analyzing the impact of machine learning and artificial intelligence and its effect on management of lung cancer detection in covid-19 pandemic.
    Boddu RSK; Karmakar P; Bhaumik A; Nassa VK; Vandana ; Bhattacharya S
    Mater Today Proc; 2022; 56():2213-2216. PubMed ID: 34877264
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 7.