Using an AI trial screening tool to assess language as a barrier for enrollment of underrepresented minorities in cancer clinical trials

被引:0
|
作者
Corvese, Laura
Weiss, Christina
Huie, Sharon
Zhou, Bin
Deng, Yanhong
Gong, Guannan
Kunz, Pamela L.
Fischbach, Neal A.
机构
[1] Univ Utrecht, Utrecht, Netherlands
[2] Yale Univ, New Haven, CT USA
[3] Yale Ctr Analyt Sci, New Haven, CT USA
[4] Yale Sch Med, New Haven, CT USA
[5] Yale Univ, Sch Med, New Haven, CT USA
关键词
D O I
暂无
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
e13586
引用
收藏
页数:1
相关论文
共 50 条
  • [31] Determinants of Enrollment in Cancer Clinical Trials: The Relationship Between the Current State of Knowledge, Societal Disease Burden, and Randomized Clinical Trial Enrollment
    Lloyd, Shane
    Buscariollo, Daniela L.
    Gross, Cary P.
    Makarov, Danil V.
    Yu, James B.
    JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK, 2013, 11 (08): : 928 - 936
  • [32] At What Cost to Clinical Trial Enrollment? A Retrospective Study of Patient Travel Burden in Cancer Clinical Trials
    Borno, Hala T.
    Zhang, Li
    Siegel, Adam
    Chang, Emily
    Ryan, Charles J.
    ONCOLOGIST, 2018, 23 (10): : 1242 - 1249
  • [33] The TIME Trial Network to facilitate rapid clinical trial activation, patient screening, and enrollment in molecularly targeted trials.
    OLeary, Stephanie
    Shulman, Megan
    Ritt, Kevin
    Degele, Meghan
    Protomastro, Ewelina
    Clauson, Jennifer
    Franzen, Amy
    Anderson, Ian Churchill
    Barve, Minal A.
    Oubre, David N.
    Priego, Victor
    Saverimuthu, Angela
    Senecal, Francis Mark
    Vaddepally, Raju Kumar
    Blackwell, Kimberly L.
    Cooney, Matthew M.
    JOURNAL OF CLINICAL ONCOLOGY, 2021, 39 (15)
  • [34] Natural Language Processing (NLP) as promising artificial intelligence (AI) tool to improve patients (pts) enrollment in clinical trials (CT): Analysis in real-world conditions on a lung cancer cohort
    Mazieres, J.
    Houvet, L.
    Mallah, S.
    Rabeau, A.
    Bigay-Game, L.
    Schwob, R.
    Alliot, J-M.
    Susplugas, V.
    Domange, V.
    ANNALS OF ONCOLOGY, 2024, 35 : S860 - S860
  • [35] Overcoming Barriers: Evidence-Based Strategies to Increase Enrollment of Underrepresented Populations in Cancer Therapeutic Clinical Trials—a Narrative Review
    Iris Vuong
    Joshua Wright
    Margaret B. Nolan
    Amanda Eggen
    Erin Bailey
    Rick Strickland
    Anne Traynor
    Tracy Downs
    Journal of Cancer Education, 2020, 35 : 841 - 849
  • [36] Improving the pre-screening of eligible patients in order to increase enrollment in cancer clinical trials
    Boris Campillo-Gimenez
    Camille Buscail
    Oussama Zekri
    Brigitte Laguerre
    Elisabeth Le Prisé
    Renaud De Crevoisier
    Marc Cuggia
    Trials, 16
  • [37] Improving the pre-screening of eligible patients in order to increase enrollment in cancer clinical trials
    Campillo-Gimenez, Boris
    Buscail, Camille
    Zekri, Oussama
    Laguerre, Brigitte
    Le Prise, Elisabeth
    De Crevoisier, Renaud
    Cuggia, Marc
    TRIALS, 2015, 16
  • [38] NIS2+TECHNOLOGY AS A POTENTIAL SCREENING TOOL FOR ENROLLMENT OF PATIENTS WITH AT-RISK NASH IN CLINICAL TRIALS
    Ratziu, Vlad
    Harrison, Stephen A.
    Hajji, Yacine
    Magnanensi, Jeremy
    Petit, Stephanie
    Majd, Zouher
    Rosenquist, Christian
    Hum, Dean
    Sanyal, Arun J.
    HEPATOLOGY, 2022, 76 : S753 - S755
  • [39] Monitoring Methodology for an AI Tool for Breast Cancer Screening Deployed in Clinical Centers
    Aguilar, Carlos
    Pacile, Serena
    Weber, Nicolas
    Fillard, Pierre
    LIFE-BASEL, 2023, 13 (02):
  • [40] Screening of ARDS patients using standardized ventilator settings: influence on enrollment in a clinical trial
    Niall D. Ferguson
    Robert M. Kacmarek
    Jean-Daniel Chiche
    Jeffrey M. Singh
    David C. Hallett
    Sangeeta Mehta
    Thomas E. Stewart
    Intensive Care Medicine, 2004, 30 : 1111 - 1116