Research demonstrating a two-stage system combining Automatic Speech Recognition (ASR) with Large Language Models (LLMs) for medical diagnostics and patient support.

• ASR component transcribes patient speech from medical call recordings
• LLM module provides context-aware, professional medical responses
• System designed to automate routine healthcare interactions while maintaining quality
• Performance benchmarking across various ASR and LLM combinations

This innovation matters for healthcare by enabling more efficient, accessible patient support while reducing clinician burden on routine tasks, potentially expanding healthcare access while maintaining professional standards.

Benchmarking Automatic Speech Recognition coupled LLM Modules for Medical Diagnostics