Table 2.
Other factors related to trust (N=110) in medical AIa applications (22/32, 68.8%, studies).
Factor category and factors from the rapid review | Umbrella factors used in the survey | |
Technology-related factors | ||
|
Accuracy (n=7, 31.8%); reliability (n=5, 22.7%); safety (n=4, 18.2%); design and output quality (n=2, 9.1%); performance expectancy (n=2, 9.1%); ability (n=1, 4.5%); perceived functionality (n=1, 4.5%); self-efficacy (n=1, 4.5%); tool itself (n=1, 4.5%) | Performance of AI applications in medicine (reproducibility of outcomes, accuracy) |
|
Auditability (n=1, 4.5%); customizability (n=1, 4.5%); understandability (n=1, 4.5%); ease of integration into clinical workflows (n=1, 4.5%); convenience of use (n=1, 4.5%); usability (n=1, 4.5%); (over)alerting and excessive false-positive rate (n=1, 4.5%) | Possibility of integration of AI applications into existing clinical workflows |
|
Risk and impact mitigation (n=1, 4.5%) | Clear balance of risks and benefits of the AI application |
|
Transparency (n=6, 27.3%); explainability (n=5, 22.7%); evidence strength (n=2, 9.1%); benevolence (n=2, 9.1%); complexity (n=2, 9.1%); interpretability (n=2, 9.1%); integrity (n=1, 4.5%); predictability (n=1, 4.5%); trialability (n=1, 4.5%); trustworthiness (n=1, 4.5%) | Explainability and transparency of the processes and outcomes |
Legal and ethical factors | ||
|
Fairness and equity (n=8, 36.4%); adequate regulations, legislation, and governance (n=3, 13.6%); ethical/legal implications (n=1, 4.5%) | Adequacy of the regulations and governance of AI applications in medicine |
|
Personal data privacy and security (n=8, 36.4%); data used to train AI/cognitive bias (n=2, 9.1%); data sensitivity (n=1, 4.5%); respect and preservation of human dignity (n=1, 4.5%) | Data use transparency |
|
Accountability (n=3, 13.6%); power-control balance (n=1, 4.5%) | Clear accountability and responsibility of the AI application (machine vs human responsibility) |
Additional factors | ||
|
Environmental sustainability (n=1, 4.5%) | Environment-friendly AI application |
|
Replacement of doctor/lack of human touch and moral support when evaluated by AI alone (n=1, 4.5%); labor market implications (n=1, 4.5%) | Impact on job availability (machines replacing humans) |
aAI: artificial intelligence.