Mediphany

Faster Reports, Smarter Workflows with AI-Assisted Radiology

Upload your images and get personalized MRI or CT video reports

medical imaging application for custom radiology reports

The Challenge Summarized

Manually creating radiology reports has long been a time-consuming task, forcing radiologists to spend a disproportionate amount of time transcribing recordings and formatting reports instead of interpreting imaging results or attending to patients.

This posed a critical challenge in the healthcare industry, calling for a solution that combined automated transcription with AI analysis to ensure reports were accurate, customizable, and adaptable to various imaging types.

The Vision

With over 30 years of combined medical expertise, Mediphany’s team was on a mission to improve radiology reporting efficiency. Their goal was to deliver video-driven AI analysis that provides clear, detailed insights into medical imaging results.

To achieve this goal, they needed to develop an AI-assisted radiology solution that integrated speech-to-text technology with flexible templates.

desktop version mediphany radiology application development services.

The Scopic Solution

Scopic partnered with Mediphany to create an AI-driven solution that transforms speech from video recordings into detailed, structured reports. Our 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.

Additional key features include AI-driven template matching and customization, a color-coded review process, and advanced contextual learning.

This 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.

Mediphany’s AI solution achieved high accuracy in transcription and template mapping—boosting productivity, streamlining workflows, and revolutionizing how radiologists create, manage, and analyze reports through automated AI analysis.