Problem

Radiologists are under unprecedented pressure. They spend up to 70% of their time on manual, unstructured reporting, leading to errors, inconsistencies, and burnout. In Europe, CT exams have grown from 37 million in 2000 to over 100 million in 2025, with thorax and abdomen scans making up two-thirds of the volume. Driven by aging populations and chronic diseases, imaging demand is expected to rise 5.7-fold. At the same time, Europe’s radiology workforce is shrinking: 45% of radiologists are over 51, nearly 19% will retire in the next five years, and fewer are available to train new doctors. Countries with older or smaller workforces face the biggest shortages, leaving radiologists overwhelmed. As a result, backlogs are growing, diagnoses are delayed, and patients—particularly those with fast-progressing cancers—face increased mortality risk. Current AI addresses only fragments of the problem; radiology needs a holistic solution that improves accuracy, efficiency, and clarity across the

Produkt

Plain Report is a next-generation GenAI platform that streamlines radiology workflows. It automatically analyzes all abnormalities in chest-abdomen CT scans, comparing prior scans to detect and quantify changes. Deep learning models segment over 150 anatomical structures, register prior scans, and characterize lesions volumetrically, while only a fraction (

Geschäftsmodell

Plain Medical will commercialize its GenAI radiology platform via a SaaS model targeting hospitals, radiology groups, and European imaging networks. The solution will generate revenue through annual platform licenses, pay-per-use modules for advanced features, and onboarding services including workflow integration and training. Key activities include refining AI models, ensuring interoperability with major AI platforms, embedding clinical usability through feedback loops, maintaining regulatory compliance, and scaling adoption via pilot studies and early clinical partnerships. Core resources include a multidisciplinary team, strategic clinical partnerships, foundational IP, and investment funding. Distribution leverages AI platform partnerships and cloud-native or on-premise deployment, while cost drivers include personnel, infrastructure, marketing, and revenue-sharing agreements. Conservative forecasts project growth from €770k in 2028 to €7M in 2030 with a 50% gross margin, targetin

Kunde / Markt

While Plain Medical initially targets oncologic CT scans of the thorax-abdomen, the platform is designed to scale across clinical applications and imaging modalities. With over 4 billion medical imaging procedures performed annually worldwide, increasing demand highlights the opportunity for AI-driven radiology reporting. The global radiology services market is projected to grow from USD 12.25B in 2023 to USD 30.76B by 2030 (CAGR 12.4%), while AI in medical imaging is forecasted to expand from USD 1.39B to USD 4.54B by 2029 (CAGR 30.4%), driven by radiologist shortages and reporting delays. Existing hospital partners demonstrated willingness to pay and helped design the solution. Structured interviews with 10+ radiologists validated value propositions, including 70% faster reporting, improved physician-patient communication, and integration of quantitative data for clinical decision-making. TAM for thorax-abdomen CT scans is €4B in 2024, projected to €5.38B by 2030. SAM for Europe reac