An AI-powered radiology reporting platform that transforms voice dictations into comprehensive, professionally-formatted medical reports with built-in clinical validation and multi-format export.
Radiologists spend a significant portion of their time on report formatting and documentation rather than diagnostic interpretation. Traditional dictation workflows require manual transcription, formatting, and quality checks—creating bottlenecks that increase turnaround times and limit throughput. Inconsistencies in report structure and terminology further complicate downstream clinical workflows.
Radiology Dashboard provides an end-to-end voice-to-report pipeline. Radiologists dictate findings using push-to-talk, and the system automatically transcribes the audio, classifies the study type, selects the appropriate report template, and expands the shorthand dictation into a complete, sub-specialist level report. Built-in clinical validation catches common errors before the report leaves the system.
Unlike generic dictation tools, Radiology Dashboard combines speech recognition with domain-specific AI that understands medical imaging terminology, report structures, and clinical validation rules. The system learns individual radiologist preferences for verbosity, formality, and terminology—producing reports that match each practitioner's style rather than forcing a one-size-fits-all template. The flexible deployment model supports both GPU-accelerated local transcription and cloud API fallback, making it suitable for organisations of any size.
Deployed both locally (with GPU acceleration) and on AWS cloud infrastructure, the platform significantly reduces the time radiologists spend on documentation. Built-in clinical validation catches potential errors early, improving report quality and consistency. The admin analytics dashboard provides visibility into usage patterns, report volumes, and pipeline performance—enabling continuous improvement of the reporting workflow.