IEEE 2801-2022
$33.58
IEEE Recommended Practice for the Quality Management of Datasets for Medical Artificial Intelligence
| Published By | Publication Date | Number of Pages |
| IEEE | 2022 | 31 |
New IEEE Standard – Active. Promoted in this recommended practice are quality management activities for datasets used for artificial intelligence medical devices (AIMD). The document highlights quality objectives for organizations responsible for datasets. The document describes control of records during the lifecycle of datasets, including but not limited to data collection, annotation, transfer, utilization, storage, maintenance, updates, 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 |
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