- 요약
- Abstract
- 1. 서론
- 2. 관련 연구
- 3. 인공지능 의료기기 소프트웨어의 표준 준수 방안
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https://www.riss.kr/link?id=A107274108
2021
Korean
569
KCI우수등재
학술저널
71-81(11쪽)
0
0
상세조회0
다운로드목차 (Table of Contents)
참고문헌 (Reference)
1 Gannous, "Toward a Systematic and Safety Evidence Productive Verification Approach for Safety-Critical Systems" 329-336, 2018
2 Zimmerman, Megan, "Smart Manufacturing and The Promotion of ArtificiallyIntelligent Human-Robot Collaborations in Smalland Medium-sized Enterprises" 2017
3 Chinzei, Kiyoyuki, "Regulatory science on AI-based medical devices and systems" 7 : 118-123, 2018
4 FDA, "Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD)"
5 Ravela, Ravi, "No-reference image quality assessment based on deep convolutional neural networks" 10996 : 2019
6 IEC, "IEC 62304, Medical device software-software life-cycle processes"
7 MFDS, "Guidelines for Permit and Review of Medical Devices with Big Data and Artificial Intelligence (AI) Technology"
8 MFDS, "Guidelines for Evaluating Clinical Effectiveness of Artificial Intelligence (AI) -based Medical Devices"
9 Redd, "Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity" 103 (103): 2019
10 Gulshan, "Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs" 316 (316): 2016
1 Gannous, "Toward a Systematic and Safety Evidence Productive Verification Approach for Safety-Critical Systems" 329-336, 2018
2 Zimmerman, Megan, "Smart Manufacturing and The Promotion of ArtificiallyIntelligent Human-Robot Collaborations in Smalland Medium-sized Enterprises" 2017
3 Chinzei, Kiyoyuki, "Regulatory science on AI-based medical devices and systems" 7 : 118-123, 2018
4 FDA, "Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD)"
5 Ravela, Ravi, "No-reference image quality assessment based on deep convolutional neural networks" 10996 : 2019
6 IEC, "IEC 62304, Medical device software-software life-cycle processes"
7 MFDS, "Guidelines for Permit and Review of Medical Devices with Big Data and Artificial Intelligence (AI) Technology"
8 MFDS, "Guidelines for Evaluating Clinical Effectiveness of Artificial Intelligence (AI) -based Medical Devices"
9 Redd, "Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity" 103 (103): 2019
10 Gulshan, "Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs" 316 (316): 2016
11 Coyner, Aaron S., "Deep learning for image quality assessment of fundus images in retinopathy of prematurity" 1224-, 2018
12 Nahm, Meredith, "Clinical research informatics" 175-201, 2012
13 de Iorio, F., "Automatic detection of intestinal juices in wireless capsule video endoscopy" 4 : 719-722, 2006
14 Sujit, "Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networks" 50 (50): 1260-1267, 2019
15 Reginatto, "Assessment of CT image quality using a Bayesian approach" 54 (54): 2017
16 KOHAVI, Ron, "A study of cross-validation and bootstrap for accuracy estimation and model selection" 14 (14): 1137-1145, 1995
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학술지 이력
연월일 | 이력구분 | 이력상세 | 등재구분 |
---|---|---|---|
2021 | 평가예정 | 계속평가 신청대상 (등재유지) | |
2016-01-01 | 평가 | 우수등재학술지 선정 (계속평가) | |
2015-01-01 | 평가 | 등재학술지 유지 (등재유지) | |
2002-01-01 | 평가 | 학술지 통합 (등재유지) |
학술지 인용정보
기준연도 | WOS-KCI 통합IF(2년) | KCIF(2년) | KCIF(3년) |
---|---|---|---|
2016 | 0.19 | 0.19 | 0.19 |
KCIF(4년) | KCIF(5년) | 중심성지수(3년) | 즉시성지수 |
0.2 | 0.18 | 0.373 | 0.07 |