IEEE P2801:2022 Edition
$31.42
IEEE Draft Recommended Practice for the Quality Management of Datasets for Medical Artificial Intelligence
Published By | Publication Date | Number of Pages |
IEEE | 2022 |
New IEEE Standard – Active – Draft. The recommended practice promotes quality management activities for datasets used for artificial intelligence medical device(AIMD). The document highlights quality objective for dataset responsible organizations. The document describes control of records during the life cycle of datasets, including but not limited to data collection, annotation, transfer, utilization, storage, maintenance, update, retirement and other activities. The document emphasizes special consideration for the dataset quality management system, including but not limited to responsibility management, resource management, dataset realization and quality control.
PDF Catalog
PDF Pages | PDF Title |
---|---|
1 | IEEE Std 2801-2022 Front cover |
2 | Title page |
4 | Important Notices and Disclaimers Concerning IEEE Standards Documents |
8 | Participants |
10 | Introduction |
11 | Contents |
12 | 1. Overview 1.1 Scope 1.2 Purpose 1.3 Word usage |
13 | 2. Normative references 3. Definitions 4. Recommendation for documentation 4.1 Data set file 4.2 Control of records |
14 | 5. Recommendation for management responsibility 5.1 Quality objectives |
16 | 5.2 Personnel and responsibility |
17 | 6. Recommendation for resource management 6.1 Personnel requirement |
18 | 6.2 Tool requirement 7. Recommendation for data set lifecycle 7.1 Design input |
19 | 7.2 Data collection 7.3 Data preprocessing |
21 | 7.4 Annotation 7.5 Data set entry 7.6 Data set storage |
22 | 7.7 Data set distribution 7.8 Maintenance and handling of data sets |
23 | 7.9 Data modification and update 7.10 Data augmentation |
24 | 7.11 Data retirement 8. Recommendations for quality control, privacy, and security 8.1 Verification of data set quality 8.2 Control of data set bias |
25 | 8.3 Control of privacy leakage |
26 | 8.4 Control of data security |
27 | Annex A (informative) Examples of quality measurement for data sets |
28 | Annex B (informative) Discussion on ethical and societal consideration of data sets |
29 | Annex C (informative) Bibliography |
31 | Back cover |