Table 2.

Dos and don’ts while implementing AI-based prognostication models

Do	Don’t
Define individual goals	Rely on a single model
Clarify responsibilities	Use models without testing
Choose a suitable model	Make decisions in paternalistic ways
Assure technical robustness	Be cavalier with human oversight
Seek maximum transparency	Ignore data privacy issues
Quantify uncertainty	Underestimate the role of empiricism
Share decision-making
Monitor performance and update model
Contribute to research and education