Case Study

How Mediphany is improving radiology workflows with AI-driven speech-to-text solutions

About OrthoSelect AI

With over 30 years of combined medical expertise, Mediphany’s team of highly trained specialists clarifies imaging results through comparisons, 3D models, and real-time explanations. Their goal is to improve radiology reporting efficiency by delivering custom video explanations that provide clear, detailed insights into medical imaging results.

The Challenge

Mediphany sought to address a critical issue in the healthcare industry: the time-consuming nature of manually creating radiology reports. Radiologists were spending a disproportionate amount of time transcribing recordings and formatting reports instead of interpreting imaging results or attending to patients.

The challenge lay in automating the transcription process while ensuring that reports were accurate, customizable, and adaptable to various imaging types. To meet this goal, the solution needed to integrate speech-to-text technology with flexible templates.

The Solution

Scopic partnered with Mediphany to create an AI-driven solution that transforms speech from video recordings into detailed, structured reports. The key features of this system include:

Speech-to-Text Transcription: The solution uses advanced AI models, such as OpenAI’s GPT-4 and Deepgram’s Nova-2-Medical model, to transcribe radiologists’ spoken input with high accuracy.

Template Matching and Customization: The AI automatically selects the appropriate template based on case context and maps transcriptions into structured fields relevant to different imaging types, such as knee or brain MRIs.

Color-Coded Review Process: Transcribed text appears color-coded, allowing radiologists to quickly identify and review AI-generated content before approving the final report.

Contextual Learning: By incorporating a vector store through Chroma, the system references prior reports for context, enabling ongoing improvement as data grows.

The solution integrates seamlessly into Mediphany’s Recorder Desktop application, leveraging a robust AI pipeline built with technologies like Python, langChain, and AWS Lambda for deployment.

The Result

Mediphany’s AI solution has revolutionized how radiologists create, manage, and analyze reports by providing:

Improved productivity: Radiologists can now generate high-quality reports in real time, significantly reducing the time spent on administrative tasks.

Increased accuracy: The AI achieved over 85% accuracy in transcription and template mapping, even with limited initial training data.

Streamlined workflow: The solution automates the most labor-intensive steps of report generation, from transcription to review, saving valuable time and reducing errors.

This innovation demonstrates how AI is revolutionizing radiology, providing radiologists with tools to enhance both efficiency and patient care. Explore our blog on AI in Radiology to learn more about how this technology is shaping the future of the field.