Real-Time Medical Transcription Analysis Using AI - Python Tutorial @AssemblyAI
Real-Time Medical Transcription Analysis Using AI - Python Tutorial  @AssemblyAI
Uploaded August 2024 | Updated September 2026, 2 weeks ago
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Github: github.com/smithakolan/AssemblyAI-Medical-Transcription-Analysis

Discover how to analyse medical audio using AssemblyAI’s Real-Time Transcription and Claude 3.5 Sonnet via LeMUR. In this tutorial, we guide you through setting up a transcription app that automates the transcription and categorization of medical notes in real-time.

What You’ll Learn:

- Real-Time Transcription: Set up AssemblyAI’s API for live transcription.
- Advanced Text Analysis: Use AssemblyAI’s LeMUR to apply Claude 3.5 Sonnet for categorizing key medical terms like Anatomy, Medication, and Medical History.

Technical Highlights:

- AssemblyAI API: Implement real-time transcription with AssemblyAI.
- LeMUR Integration: Apply Claude 3.5 Sonnet for in-depth text analysis.

Timestamps:
00:00 - Intro & demo
01:30 - Github repo & setup
02:40 - Building Real-Time Medical Transcription App in python
04:00 - Writing our Prompt for LLM
09:13 - LLM inference with Claude 3.5 Sonnet
13:29 - Code Walkthrough
14:01 - Demo
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Real-Time Medical Transcription Analysis Using AI - Python Tutorial

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