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Module 3

371

5 (17)

Reading X-Rays and ECGs with AI

Summary

This video explores the rapid advancements in radiology facilitated by AI. It focuses on established AI tools in radiology, highlighting their integration with imaging suites and the potential for future adoption in institutional systems. We take a deep dive into prominent AI products like Gleamer, Contextflow, Chestlink, Qure, and Niramai. Despite progress, AI in radiology is still evolving and prone to errors, as discussed in scholarly articles. However, ongoing improvements promise increased accuracy over time.

Resources

Links to various platforms used in the video:

1. Gleamer: https://pxmd.co/gleamer

2. Contextflow: https://pxmd.co/CflowAI

3. Oxipit: https://pxmd.co/oxipit

4. Niramai: https://pxmd.co/niramai

5. Qure AI: https://pxmd.co/qureai

6. Chester AI: https://pxmd.co/chester

7. Xray GPT: https://pxmd.co/XrayGPT1

8. Xray Diagnostic Assistant: https://pxmd.co/XrayGPT

9. RadiologyGPT: https://pxmd.co/radiogpt

Exercises

1. Explore Qure

Visit app.qure.ai, create your account and upload an X-Ray to evaluate

i

Try Qure

2. Ask GPT

Look for a free online tool that can help read ECGs. Are there any GPTs that can read ECGs? Compare their accuracy vs actual interpretation.

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Speaker

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Dr. Rohan Desai

Founder & CEO, Medflix, General Medicine (MBBS), Ahmedabad

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