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. 2022 Jan 26;4(2):e210127. doi: 10.1148/ryai.210127

Figure 6:

An example of a pipeline of checklists focusing on medical imaging. Some of the checklists (yellow background) are generic and useful for all machine learning (ML) applications. Other checklists (white background) are used for all types of health care applications. As we move into a specific domain (eg, medical imaging), specific checklists are used (green background and dashed outline). AI = artificial intelligence, CLAIM = Checklist for AI in Medical Imaging, CONSORT-AI = Consolidated Standards of Reporting Trials–AI, PROBAST = prediction model risk of bias assessment tool, TRIPOD-AI = Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis–AI.

An example of a pipeline of checklists focusing on medical imaging. Some of the checklists (yellow background) are generic and useful for all machine learning (ML) applications. Other checklists (white background) are used for all types of health care applications. As we move into a specific domain (eg, medical imaging), specific checklists are used (green background and dashed outline). AI = artificial intelligence, CLAIM = Checklist for AI in Medical Imaging, CONSORT-AI = Consolidated Standards of Reporting Trials–AI, PROBAST = prediction model risk of bias assessment tool, TRIPOD-AI = Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis–AI.