Implement Good Machine Learning practice

Do we implement Good Machine Learning practice as published here: https://www.gov.uk/government/publications/good-machine-learning-practice-for-medical-device-development-guiding-principles/good-machine-learning-practice-for-medical-device-development-guiding-principles

Looks like the main takeaways are:

- [ ] Multi-Disciplinary Expertise Is Leveraged Throughout the Total Product Life Cycle
- [ ] Good Software Engineering and Security Practices Are Implemented
- [ ] Clinical Study Participants and Data Sets Are Representative of the Intended Patient Population
- [ ] Training Data Sets Are Independent of Test Sets
- [ ] Selected Reference Datasets Are Based Upon Best Available Methods
- [ ] Model Design Is Tailored to the Available Data and Reflects the Intended Use of the Device
- [ ] Focus Is Placed on the Performance of the Human-AI Team
- [ ] Testing Demonstrates Device Performance During Clinically Relevant Conditions:
- [ ] Users Are Provided Clear, Essential Information
- [ ] Deployed Models Are Monitored for Performance and Re-training Risks Are Managed