Plain Medical provides an AI-powered software platform that ingests DICOM imaging studies, runs deep‑learning models to detect and measure lesions, and automatically generates structured radiology reports in the user’s preferred language. The system integrates with PACS, RIS and EMR via HL7/FHIR, delivering quantitative metrics and narrative summaries to accelerate report turnaround and ensure consistency across multilingual sites.
Funding
Funding not disclosed
Founders
Product
Problem
Radiologists must manually interpret large volumes of imaging studies, which is time‑intensive and prone to variability, limiting throughput and delaying report delivery, especially in multilingual clinical settings.
Solution
Plain Medical offers an AI‑driven software platform that ingests DICOM datasets, applies deep‑learning models to detect and quantify findings, and automatically composes concise, structured reports. The generated narratives are rendered in the radiologist’s preferred language, preserving clinical nuance while reducing manual transcription. By delivering quantitative metrics alongside narrative summaries, the system streamlines workflow, shortens turnaround time, and supports consistent reporting across sites. Integration hooks enable seamless delivery of reports into existing PACS or RIS environments, allowing radiologists to review AI‑assisted outputs within their familiar tools.
Target Audience
The primary customers are radiology departments in hospitals, outpatient imaging centers, and diagnostic laboratories seeking to accelerate report generation and improve consistency across multilingual workflows.
Features
- Deep‑learning inference engine optimized for CT, MRI, X‑ray, and ultrasound studies, delivering lesion detection and measurement in real time
- Automated natural‑language generation that produces structured, quantitative reports in multiple languages, with customizable terminology dictionaries
- DICOM ingest pipeline with HL7/FHIR‑compatible output for direct integration into PACS, RIS, and EMR systems
- Secure, HIPAA‑compliant cloud processing with end‑to‑end encryption and role‑based access controls
- Continuous model update framework that incorporates radiologist feedback to refine accuracy without downtime
- Dashboard for radiologists to review AI findings, adjust report sections, and export final documents in PDF or HL7 formats