Table 2.

AI Lifecycle Phases Into Which AImedReport “Reporting Items” Were Sorted, Along With Subphases and Interdisciplinary Alignment That Came From Further Organization

Research and discover		Translation	Deployment
Prepare	Develop	Validate	Deploy	Maintain
Purpose and clinical impact Data preparation	Model development and evaluation Usability formative Model bias evaluation Study protocol development	Validation planning Usability summative User education Deployment planning	Clinical validation User training	Postdeployment surveillance and maintenance Quality monitoring and audit
Project manager Clinical expert UX researcher Ethicist Data engineer Data scientist Regulatory and legal Informaticist	Project manager Clinical expert UX researcher Ethicist Data engineer Data scientist Informaticist System engineer Software engineer	Project manager Clinical expert Ethicist Data engineer Data scientist System engineer UX researcher	Project manager Clinical expert Data scientist MLOps System engineer Software engineer UX researcher	Clinical expert Quality management MLOps Ethicist Informaticist Software engineer

MLOps, machine learning operation; UX, user experience.