| Ten Key Suggestions for LLMs in Medicine |
| 1. |
Transfer learning, domain adaptation, few-shot learning, and zero-shot learning |
| 2. |
Reinforcement learning with expert feedback according to an explicit code of ethics |
| 3. |
Dynamic model with emphasis on more recent and more cited work |
| 4. |
Robust and specific evaluation metrics and benchmarks, along with clinical validation |
| 5. |
Data privacy, fairness-aware provisions, and diverse stakeholder involvement |
| 6. |
Inclusion of patients, caregivers, and other diverse perspectives |
| 7. |
Education and training prerequisites for the users |
| 8. |
A regulatory framework for their development, validation, deployment, maintenance, and monitoring |
| 9. |
Addressing cost and resource implications, exploring efficient models and cloud-based resources |
| 10. |
Ethical considerations, unbiased models, and mitigation strategies for potential risks and limitations |
