Artificial Intelligence Doctor. Ask me questions - www.abcfarma.net
User question:
How to build an agentic doctor for yourself?
GPT-4:
If you’re building an agentic doctor specifically for yourself as the patient, the process can be streamlined and highly personalized. This approach ensures the system is tailored to your unique health needs, preferences, and goals. Here’s how you can proceed:
•Devices: Use wearables (e.g., Fitbit, Apple Watch) or IoT health devices for continuous monitoring.
3. Choose AI Tools and Frameworks
•Pre-trained AI models: Use accessible tools like OpenAI’s GPT for general health guidance, or specialized models for diagnostics (e.g., symptom checkers).
•Molecular and biological tools: If managing a condition with potential medication or supplements, consider tools like DeepChem for analyzing potential interventions.
•Data visualization tools: Use tools like Tableau or Python libraries (e.g., Matplotlib, Seaborn) to track and analyze trends in your health data.
4. Build a Personal Health Assistant
a. Symptom Tracker
•Use a simple chatbot or app to log symptoms daily.
•Train an NLP model (or use GPT-based systems) to interpret and analyze your inputs.
•Compare symptoms to existing medical knowledge for suggestions or flags.
b. Health Monitoring Dashboard
•Develop a dashboard (e.g., using Python, Streamlit) to visualize trends in your vitals, exercise, diet, etc.
•Integrate data from wearable devices or apps like Apple Health or Google Fit.
c. Personalized Recommendations
•Create algorithms to:
•Suggest diet improvements.
•Recommend exercises suited to your health condition.
•Alert for potential medication adjustments (consulting a doctor before action).
d. Medical Knowledge Integration
•Use APIs from medical databases (e.g., PubMed, UMLS) to fetch up-to-date, evidence-based recommendations.
5. Automate Preventive Care
•Reminders: Automate reminders for medication, check-ups, or lifestyle activities.
•Alerts: Use predictive analytics to warn about potential health risks (e.g., high blood pressure trends).
6. Ensure Privacy and Security
•Since this system is for personal use:
•Use encrypted storage for sensitive data.
•Host locally on your computer or a private cloud for enhanced privacy.
•Regularly back up data to avoid loss.
7. Start Small and Iterate
•Begin with a basic system, such as:
•A symptom tracker integrated with a chatbot.
•A simple dashboard to monitor your vitals and habits.
•Gradually expand based on your needs, adding features like:
•AI-driven predictions.
•Integration with new devices or external databases.
8. Evaluate and Validate
•Cross-check AI suggestions with a medical professional to ensure safety and accuracy.
•Keep refining based on personal outcomes and new medical knowledge.
9. Make It Adaptive
•Use machine learning models to adapt to your health trends:
•Train models on your data to make increasingly personalized suggestions.
•Incorporate reinforcement learning for iterative improvement.
10. Use Accessible Tools
If you’re not a developer, consider no-code or low-code platforms like:
•Zapier: For automating reminders and integrating apps.
•Bubble: For creating simple dashboards.
•AI APIs: Leverage ready-made APIs like OpenAI’s GPT for conversational AI.
Example Workflow:
1.Symptom Input: Input daily symptoms or questions into a chatbot.
2.Dashboard Update: Monitor key health metrics and trends.
3.AI Analysis: Get AI-driven feedback on symptoms, lifestyle, and potential risks.
4.Actionable Alerts: Receive personalized recommendations or reminders for medication, check-ups, or adjustments.
Would you like help setting up specific components, like choosing tools or designing the dashboard?
