Build Your Own AI Healthcare Assistant Using Your medical record and Health data

Build Your Own AI Healthcare Assistant

Description:
This MeetUp event will equip you with the knowledge and tools to build your own AI digital health assistant! Whether you're a healthcare professional, developer, or simply interested in managing your own health data, this event is for you.

What you'll learn:

• The power of AI in healthcare: Discover how AI can revolutionize the way you interact with your medical records and wearable health data.
• Open-source tools for AI development: Explore the capabilities of Langchain, ChromaDB, Mistral AI, and other open-source frameworks for building generative AI conversational chatbots and digital assistants.
• Step-by-step guide to building your own assistant: Learn the fundamentals of building an AI healthcare assistant, from data integration to conversational design.

Who should attend:

• Healthcare professionals
• Developers
• Individuals interested in self-managing their health data
• Anyone curious about the future of AI in healthcare

Agenda:

• Introduction (5 minutes):
• Welcome and introductions
• Overview of the event and its learning objectives
• The Rise of AI in Healthcare (5 minutes):
• Exploring current applications of AI in healthcare
• Understanding the potential benefits and challenges of AI in the healthcare sector
• Demystifying Open-source AI Tools (5 minutes):
• Introduction to Langchain, ChromaDB (Vector Database), Mistral AI, ODK, FHIR Server, OpenEMR, ML-Ferret, and other relevant open-source frameworks
• Exploring the capabilities of each tool in building AI conversational interfaces
• Building Your AI Healthcare Assistant (45 minutes):
• Step-by-step walkthrough of the development process
• Practical demonstration of using open-source tools to build a basic AI assistant
• Open Q&A and Discussion (30 minutes):
• Address any questions regarding AI development and its application in healthcare
• Discuss potential future directions and use cases for AI healthcare assistants

Instructors:

1. Tanmay Vakare - My passion for Machine Learning drives me to solve intricate problems with innovative and creative solutions. I have hands-on experience in various domains and fields, such as Natural Language Processing, Computer Vision, Predictive Analytics, and more.
2. Augustine Adah - My expertise focuses on complex technical solutions through high quality implementation and maintenance of services and infrastructure. I enjoy generating new ideas and devising feasible solutions to broad problems.

Materials:

• A list of resources and links to the open-source tools will be provided to all attendees.
• Download your medical record on your iPhone
• Apple HealthKit (Lets you download your health data on iPhone)
• Google Fit (Lets you download your health data on Android)
• Blue Button (You can download your medical record using the blue button)
• Open Data Kit (Lets you acquire data from wearable devices)
• Dummy electronic medical record Kaggle datasets:
• Electronic Health Records (EHRs) Data Exploration
• Medical Records Dataset
• Synthea Dataset Jsons - EHR
• Dummy electronic medical record Kaggle datasets for our chatbot if you cannot download your data from your phone:
• Apple Watch and Fitbit Kaggle data
• Smartwatch Data Analysis
• Activity recognition using wearables Kaggle datasets
• FitBit Fitness Tracker Kaggle Data
• PubMed LangChain Agent
• Sample code snippets and tutorials will be shared during the presentation.

Join us and take control of your health data with the power of AI!

• Join the Healthi AI community on Discord