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My Healthcare GenAI Research
My Recent Clinical Case Analyses
How To Get Started with Healthcare GenAI Research Now?
GenAI is democratizing AI in healthcare, enabling every medical student, doctor, and healthcare professional to study how GenAI can benefit medical learning and healthcare decision-making. Depending on your needs, you can conduct healthcare GenAI research at three different levels:
- Level 1: Evaluate one or multiple top LLMs in clinical case analyses as comparative effectiveness research (CER) for a specific task. This level is applicable to all users.
- Level 2: Verify that top commercial LLMs can accurately predict a task, and then fine-tune a top open-source LLM to match the prediction accuracy. Study the impact of your fine-tuned LLM on your routine healthcare delivery.
- Level 3: Fine-tune an open-source LLM using your specialized data to convert your unique expertise into your own GenAI. Deploy and study the fine-tuned LLM in your practice. You may share your best-performing task-specific LLM in your clinical research networks for broader impact.
To make it easier for everyone to harness the power of GenAI democratization, Copilot has streamlined the GenAI evaluation research process to the following steps:
- Start using GenAI to analyze your clinical cases for diagnosis, treatment selection, or any other tasks you would like to improve.
- By comparing your decision-making before and after using GenAI analysis information, you can evaluate whether GenAI can benefit your decision-making.
- You may choose from the following top LLMs and compare their performance:
- OpenAI ChatGPT
- Google Gemini
- Baidu Ernie
- Meta Llama
- Google Gemma
- Mistral AI Mistral
- Organize your cases in a collaboration project in Copilot to allow your collaborators to efficiently review, validate, and reproduce your data.
- Conduct statistical analysis on your real-world data and generate real-world evidence of GenAI clinical benefits for SCI publication.
Next Steps:
If you need help, feel free to contact us.