The jury behind this year’s SophIA Awards selected the AI-based radiology solution by MATA MEDICAL DATA for the category Artificial Intelligence for Human.
In a groundbreaking development for the medical imaging field, Mata, a French digital health company, has announced the launch of an advanced chatbot designed to integrate generative artificial intelligence (AI) into radiology. The announcement, made on June 25, 2024, highlights Mata’s potential to address critical challenges faced by radiology professionals, including overwhelming workloads and diagnostic complexity. By leveraging cutting-edge Transformer-based AI technology, Mata aims to optimize workflows, improve diagnostic accuracy, and enhance patient care.
Founded by Dr. Hala Jenoudet, a seasoned radiologist with over 25 years of experience, Mata represents a significant leap in the integration of AI into medical practice. Dr. Jenoudet’s deep understanding of radiological challenges has informed Mata’s design, making it a tailored solution for healthcare professionals worldwide. With a focus on innovation, accessibility, and education, Mata’s introduction promises to set a new standard in the medical field.
Advanced Functionalities Empower Radiologists
Mata’s features are tailored to address the diverse and complex needs of radiology professionals. Its core module, powered by Transformer-based neural networks, provides intuitive text analysis and seamless voice-command integration. Radiologists can input questions or commands and receive accurate, context-aware responses instantly. For instance, Mata’s semiology mode allows users to query signs of specific pathologies, such as hepatic angiomas, providing a detailed response backed by medical knowledge.

The chatbot’s report generation functionality is equally transformative. Radiologists can dictate observations, and Mata produces detailed, structured reports that highlight edits for user approval. This streamlines documentation and reduces the risk of errors. Additionally, Mata includes a Clinical Case Module, which curates resources related to specific queries, enhancing decision-making with up-to-date and relevant information.
Mata’s multilingual capabilities further expand its global impact, enabling adoption in diverse clinical contexts. Its compatibility with Picture Archiving and Communication Systems (PACS) ensures seamless integration into existing radiological workflows. Collectively, these features make Mata an invaluable asset for radiologists striving for efficiency and precision in their daily work.
Bridging Education and Practice
Beyond its clinical functionalities, Mata is designed as a support tool for the ongoing education of medical professionals. Recognizing the importance of lifelong learning in medicine, the platform offers a forthcoming Course Module. This resource will feature expert-led lessons by renowned university professors and hospital practitioners, providing a rich repository of knowledge for radiologists, interns, and technicians.


The platform’s affordability reflects Mata’s commitment to inclusivity, ensuring that professionals at all levels can access its benefits. This accessibility aligns with Dr. Jenoudet’s vision of creating an AI solution that empowers not only seasoned radiologists but also younger professionals navigating the early stages of their careers. Mata’s tools support users in mastering diagnostic skills and staying abreast of medical advancements, making it a valuable companion for professional development.
Moreover, Mata’s ability to bridge linguistic and geographical barriers elevates its role in global medical collaboration. By providing multilingual support, Mata facilitates knowledge exchange and uniformity in diagnostic standards, advancing the cause of equitable healthcare worldwide.
Shaping the Future of Radiology with AI
Mata’s creation is the culmination of a meticulously planned development process. It began with the collection and structuring of high-quality, diverse datasets to train the model. Rigorous cross-validation and beta testing ensured its robustness and reliability, while ongoing refinements continue to optimize its performance. Available in its beta version through subscription, Mata is already making an impact in clinical settings, with plans for future updates to expand its capabilities.
Dr. Jenoudet envisions Mata as more than just a diagnostic tool. She sees it as a platform for fostering national and international collaboration in radiology, uniting medical and academic professionals to tackle shared challenges. Mata’s success exemplifies how AI can transcend traditional barriers in medicine, including those of language, geography, and resource accessibility. By setting a benchmark in integrating AI into radiology, Mata is poised to shape the future of medical imaging.
Located in the innovative hub of Sophia Antipolis, Mata is a testament to the power of French ingenuity in digital health. The company’s ambitious goals include establishing Mata as a global reference for radiological tools, bringing AI’s transformative potential to the forefront of healthcare. As Mata continues to evolve, it promises to redefine the standards of efficiency, accuracy, and education in radiology, paving the way for a new era in medical technology.