MedAI: Real-Time Transcription and Medical Assistant

What I Built

MedAI: Real-Time Transcription and Medical Assistant

MedAI is a powerful app designed to enhance healthcare workflows by providing real-time medical transcription and contextual assistance. Built with AssemblyAI's Universal-2 Speech-to-Text model, it transcribes medical conversations or dictations with high accuracy and offers instant summaries and action points.

Key features:

1. Real-time transcription of patient-doctor interactions.
2. Smart summarization for generating visit notes.
3. Keyword extraction to highlight critical information like symptoms, diagnoses, and medications.
4. Interactive Q&A for contextual understanding of medical terminologies or recommendations.

Demo

You can access the demo of MedAI here.

Screenshots:

Real-time Transcription Interface

Summarization and Keyword Extraction Features

This is a submission for the AssemblyAI Challenge: Sophisticated Speech-to-Text.

Journey

MedAI leverages AssemblyAI's Universal-2 Speech-to-Text Model to achieve industry-leading accuracy in transcription. This model is ideal for handling diverse accents and technical vocabulary, making it perfect for medical applications.

Additionally, the project integrates:

1. AssemblyAI's Sentiment Analysis API to assess the tone of conversations.
2. OpenAI's GPT model to provide dynamic Q&A and context-aware explanations.

Qualifying for Additional Prompts

This submission qualifies for the additional prompts as it incorporates:

1. Summarization: MedAI converts lengthy conversations into concise visit notes.
2. Keyword Extraction: The app highlights critical medical terms automatically.
3. Custom Integrations: Combined AssemblyAI’s transcription with an interactive AI assistant for end-to-end workflow support in healthcare.

Team

This submission is an individual effort.

Thank you for considering my submission to the AssemblyAI Challenge!