Summary
Scientists have developed an artificial intelligence (AI) model called Delphi-2M that can predict the risk of over 1,000 diseases by analyzing patterns in people's medical records. This AI tool aims to identify high-risk individuals and help healthcare providers plan for future needs, much like a weather forecast predicts conditions. The model is still in development and is not yet ready for clinical use.
Key Facts
- The AI model analyzes medical records to predict the risk of diseases.
- It works similarly to AI chatbots by finding patterns but focuses on medical data.
- Delphi-2M was trained using anonymous data from over 400,000 people in the UK.
- The accuracy of predictions was tested with data from 1.9 million people in Denmark.
- The AI is effective at predicting diseases with clear progressions like type 2 diabetes.
- Results could help doctors offer preventive advice and treatments earlier.
- The model is being refined and tested before it can be used in hospitals.
- It was primarily built using data from the UK Biobank, which may limit its diversity.
