AI Agents for Healthcare: Can they help Doctors?

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  • Опубликовано: 15 июл 2024
  • Welcome to our latest tutorial where we dive into creating an AI-powered healthcare assistant using Streamlit and CrewAI! This step-by-step guide will show you how to build an intelligent system for generating preliminary medical diagnoses and treatment plans.
    ✅ What's Inside:
    🌟 Introduction to CrewAI and Streamlit
    💡 Setting up your environment and API keys
    🧠 Creating intelligent agents with specific roles
    📊 Defining tasks for accurate diagnosis and treatment plans
    📄 Generating and downloading results in a DOCX format
    📽️ Real-time demo and walkthrough
    🎯 Key Features:
    🔍 Utilize advanced AI tools like SerperDevTool and ScrapeWebsiteTool
    🧑‍⚕️ Customize agents for medical diagnosis and treatment advice
    📜 Download medical reports as DOCX files
    🖥️ User-friendly interface with Streamlit
    🔔 Don't forget to:
    ✅ Like the video if you found it helpful! ✔️
    ✅ Comment below with any questions or feedback! ✔️
    ✅ Subscribe to our channel for more AI and development tutorials! ✔️
    THIS IS JUST A TUTORIAL. DON'T USE THIS IN CLINICAL SETTINGS.
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    #aiagents #doctor #ai
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Комментарии • 6

  • @thebestthereisandwillbe
    @thebestthereisandwillbe 21 день назад +2

    anything on fine tuning llms using openvino for cpu purposes pls. it helps with cpu usage and low memory use

  • @VidishArvind
    @VidishArvind 11 дней назад

    Hi, pls tell us how to deploy this on docker or any cloud, u can remove the 2 factor authentication in editing....

  • @EmilioGagliardi
    @EmilioGagliardi 21 день назад

    nice to see all the crewai examples, thanks. One thing that I like to see is a breakdown of the memory vs context and what exactly do agents store in the context. If have an agent that pulls content from a database, so I pass a page_id to the inputs dict. When the agent finishes, it's extracted a document, but where is that stored, how is it properly referenced and accessed by agents further downstream? Do I specify a key name in the expected_output? ie., store the retrieved document in the context with the key 'database_page'...or something like that? The other frustrating thing is that all the crewai RAG tools point to file paths or URLs etc. So you can't just point to a chunk in context, you have to write out the task output to file and then instantiate the tool... what are your thoughts on the blackbox nature of the context and memory?

    • @EmilioGagliardi
      @EmilioGagliardi 21 день назад

      ps. is it possible when creating word docs to specify any formatting? Basic things like specifying fonts and adjusting typography or even applying a template. I've been using markdown for everything because its so portable, but it would be nice at the end if there was a straightforward way to dump the crew results into a docx file and make it look nice. Cheers!

  • @Simon-temporary
    @Simon-temporary 10 дней назад

    What is the best framework for AI Agents, if CrewAI is not the best. What do you recommend?