Table 1.

Human-related factors related to trust (N=110) in medical AI^a applications (22/32, 68.8%, studies).

Factor category and factors from the rapid review		Umbrella factors used in the survey
AI professionals
	AI company/provider (n=2, 9.1%)	Type of institution/organization of AI professionals (eg, university, technology company, commercial organization)
	AI role (n=1, 4.5%); perceived helpfulness (n=1, 4.5%)	The purpose to innovate with a specific AI application in medicine (eg, financial vs societal)
Health care professionals
	Knowledge and understanding of AI (n=6, 27.3%); education (n=3, 13.6%)	Knowledge of AI applications in medicine (eg, by means of training and education)
	Expectation of AI (n=1, 4.5%); perceived actionability (ie, clear recommendation for action; n=1, 4.5%); user’s social network (n=1, 4.5%); user’s media consumption (n=1, 4.5%)	Attitude toward AI application usage in medicine (eg, agreeableness, openness, conscientiousness, engagement)
Patients informed about AI application usage in the hospital
	Knowledge/education about AI (n=5, 22.7%); awareness of AI (n=2, 9.1%)	General knowledge of AI applications in medicine
	Openness (to AI health care technologies and to judgments of potential benefits and harms; n=1, 4.5%); perceived benefit and lower concern (n=1, 4.5%); user’s social network (n=1, 4.5%); user’s media consumption (n=1, 4.5%)	Attitude toward AI application usage in medicine (eg, agreeableness, openness, conscientiousness)
	Gender (n=2, 9.1%); age (n=1, 4.5%); type of user (n=1, 4.5%)	Age, gender, level of education
All parties
	Clinicians and patients interaction during AI integration (n=1, 4.5%); human agency and oversight (n=1, 4.5%)	Transparency between all involved parties (AI professionals, health care professionals, patients)

^aAI: artificial intelligence.