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. Author manuscript; available in PMC: 2023 Feb 1.
Published in final edited form as: Ophthalmology. 2021 Aug 31;129(2):e14–e32. doi: 10.1016/j.ophtha.2021.08.023

Table 1.

Artificial Intelligence System Impact

Use Case Description Examples Food and Drug Administration Oversight

Population care Prioritization and triage with potential impact on groups of patients and individual patients Care pathway assignment Likely35
Individual patient care
 Assistive AI Assists a clinician who determines the patient’s management Provides a probability or likelihood of a disease or condition or may highlight potential lesions that should be reviewed by a specialist Likely35
 Autonomous AI Makes a medical decision without input from a clinician For example, an autonomous AI system may evaluate for the presence of a disease, such as diabetic retinopathy and macular edema, or condition and notify the user whether the disease or condition is present Likely35
 Scientific research Not used for individual patient or population care, although the results of the research may impact populations or patients downstream Health care analytics Unlikely
 Operations and data management Where this does not impact individual patient or population care; these often exist within the realm of health information technology systems as they relate to administrative purposes VIM Referral Guidance, a triage system from EHRs (https://getvim.com/solution/referral-guidance) Unlikely
 Clinical decision support Informs the clinician by aggregating, reformatting, or visualizing data, without providing analytical insights of the data, in a manner that allows the clinician to review the basis of the information provided by the software independently AI system that suggests a G6PD test before prescribing an antimalarial therapy38 Depends*
 General wellness Collects physiologic information from devices and sensors, including wearables Smart watch that captures heart rate Depends*

AI = artificial intelligence; EHR = electronic health record.

See Center for Devices and Radiological Health, United States Food and Drug Administration.38 This explains when a software function qualifies as nondevice CDS as well as device CDS, and which of these are regulated actively or for which compliance with applicable regulation would not be enforced.