Hassan Revel.

Chughtai Lab · Qodexl

GrossingAI.

From grossing audio to structured pathology reports.

HealthcareSpeech-to-textLLMsFastAPI

A pathology workflow combining audio capture, medical transcription, language processing and report generation.

GrossingAI pathology reporting project presentation showing the audio and report workflow
GrossingAI · Project presentation from Hassan Revel’s portfolio

The project

Purpose & implementation.

GrossingAI connects audio from pathology grossing sessions to structured reporting. Hassan Revel’s work brings together speech-to-text, language-model processing and an application workflow for preparing reports from specialist dictation.

The system supports a clearer path from spoken observations to reports that can be reviewed within the pathology workflow.

What the workflow brings together

  • Audio capture for pathology grossing sessions
  • Medical speech-to-text and language-model processing
  • Structured reporting and automated report generation
  • Backend jobs and application interfaces for the processing workflow

The engineering around it

The work combines the model or recognition pipeline with application services, data and interfaces. These connections are the part of the product that lets people use the output inside a real workflow.

Explore the related services for the kinds of implementation Hassan can bring to a similar project.

Continue exploring

More selected work.

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