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      KCI등재 SCIE SCOPUS

      Randomized Clinical Trials of Artificial Intelligence in Medicine: Why, When, and How?

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      https://www.riss.kr/link?id=A108360475

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      참고문헌 (Reference)

      1 NEJM Group, "What is value-based healthcare?"

      2 박서영 ; Park Ji Eun ; Kim Hyungjin ; Park Seong Ho, "Review of Statistical Methods for Evaluating the Performance of Survival or Other Time-to-Event Prediction Models (from Conventional to Deep Learning Approaches)" 대한영상의학회 22 (22): 1697-1707, 2021

      3 Liu X, "Reporting guidelines for clinical trial reports for interventions involving artificial intelligence : the CONSORT-AI Extension" 370 : m3164-, 2020

      4 Vasey B, "Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence : DECIDE-AI" 377 : e070904-, 2022

      5 Morey JR, "Real-world experience with artificial intelligencebased triage in transferred large vessel occlusion stroke patients" 50 : 450-455, 2021

      6 Plana D, "Randomized clinical trials of machine learning interventions in health care : a systematic review" 5 : e2233946-, 2022

      7 Hassan C, "Performance of artificial intelligence in colonoscopy for adenoma and polyp detection : a systematic review and meta-analysis" 93 : 77-85, 2021

      8 Hirst A, "No surgical innovation without evaluation : evolution and further development of the IDEAL framework and recommendations" 269 : 211-220, 2019

      9 Park SH, "Methods for clinical evaluation of artificial intelligence algorithms for medical diagnosis" 2022

      10 Park SH, "Methodologic guide for evaluating clinical performance and effect of artificial intelligence technology for medical diagnosis and prediction" 286 : 800-809, 2018

      1 NEJM Group, "What is value-based healthcare?"

      2 박서영 ; Park Ji Eun ; Kim Hyungjin ; Park Seong Ho, "Review of Statistical Methods for Evaluating the Performance of Survival or Other Time-to-Event Prediction Models (from Conventional to Deep Learning Approaches)" 대한영상의학회 22 (22): 1697-1707, 2021

      3 Liu X, "Reporting guidelines for clinical trial reports for interventions involving artificial intelligence : the CONSORT-AI Extension" 370 : m3164-, 2020

      4 Vasey B, "Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence : DECIDE-AI" 377 : e070904-, 2022

      5 Morey JR, "Real-world experience with artificial intelligencebased triage in transferred large vessel occlusion stroke patients" 50 : 450-455, 2021

      6 Plana D, "Randomized clinical trials of machine learning interventions in health care : a systematic review" 5 : e2233946-, 2022

      7 Hassan C, "Performance of artificial intelligence in colonoscopy for adenoma and polyp detection : a systematic review and meta-analysis" 93 : 77-85, 2021

      8 Hirst A, "No surgical innovation without evaluation : evolution and further development of the IDEAL framework and recommendations" 269 : 211-220, 2019

      9 Park SH, "Methods for clinical evaluation of artificial intelligence algorithms for medical diagnosis" 2022

      10 Park SH, "Methodologic guide for evaluating clinical performance and effect of artificial intelligence technology for medical diagnosis and prediction" 286 : 800-809, 2018

      11 Kelly CJ, "Key challenges for delivering clinical impact with artificial intelligence" 17 : 195-, 2019

      12 Park Seong Ho ; Choi Jaesoon ; Byeon Jeong-Sik, "Key Principles of Clinical Validation, Device Approval, and Insurance Coverage Decisions of Artificial Intelligence" 대한영상의학회 22 (22): 442-453, 2021

      13 Rivera SC, "Guidelines for clinical trial protocols for interventions involving artificial intelligence : the SPIRIT-AI Extension" 370 : m3210-, 2020

      14 Rothwell PM, "External validity of randomised controlled trials: “to whom do the results of this trial apply?”" 365 : 82-93, 2005

      15 Frieden TR, "Evidence for health decision making-beyond randomized, controlled trials" 377 : 465-475, 2017

      16 Wijnberge M, "Effect of a machine learning–derived early warning system for intraoperative hypotension vs standard care on depth and duration of intraoperative hypotension during elective noncardiac surgery : the HYPE randomized clinical trial" 323 : 1052-1060, 2020

      17 Rodger M, "Diagnostic randomized controlled trials : the final frontier" 13 : 137-, 2012

      18 Newman TB, "Designing clinical research" Lippincott Williams & Wilkins 2013

      19 Spadaccini M, "Computer-aided detection versus advanced imaging for detection of colorectal neoplasia : a systematic review and network meta-analysis" 6 : 793-802, 2021

      20 Zhou Q, "Clinical impact and quality of randomized controlled trials involving interventions evaluating artificial intelligence prediction tools : a systematic review" 4 : 154-, 2021

      21 Páez A, "Beyond the RCT : when are randomized trials unnecessary for new therapeutic devices, and what should we do instead?" 275 : 324-331, 2022

      22 Zhang Y, "Artificial intelligenceaided colonoscopy for polyp detection : a systematic review and meta-analysis of randomized clinical trials" 31 : 1143-1149, 2021

      23 Deliwala SS, "Artificial intelligence(AI)real-time detection vs. routine colonoscopy for colorectal neoplasia : a metaanalysis and trial sequential analysis" 36 : 2291-2303, 2021

      24 Nagendran M, "Artificial intelligence versus clinicians : systematic review of design, reporting standards, and claims of deep learning studies" 368 : m689-, 2020

      25 Vagal A, "Artificial intelligence in “code stroke”-a paradigm shift: do radiologists need to change their practice?" 4 : e210204-, 2022

      26 Rajpurkar P, "AI in health and medicine" 28 : 31-38, 2022

      27 Skivington K, "A new framework for developing and evaluating complex interventions : update of Medical Research Council guidance" 374 : n2061-, 2021

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