Table 3.
Summary of reported enablers of large language models for medical education.
| Enabler code | Enabler | Description | References |
| E1 | Cost | Cost of computation, including hardware, software, and energy requirement | [19,20] |
| E2 | Usability | User-centric design, ease of use, and positive user experiences | [21,22] |
| E3 | Credibility | Level of trust and reliability that users place in the application | [23,24] |
| E4 | Fairness | Absence of unfair discrimination, physical harm, and harm to user reputation | [25,26] |
| E5 | Accountability | Taking responsibility for the obligation to treat users with honesty and morality | [27,38] |
| E6 | Transparency | Functioning in a way that makes it simple for others to observe what actions are taken | [27,30] |
| E7 | Explainability | Ability to describe how the models came to their conclusion | [29,30] |