DetectedX, an Australian radiology online learning centre focusing on diagnostic accuracy and driven by artificial intelligence, has announced that it will launch MyImageDx, a fully customizable, interactive learning platform providing radiology educators with the ability to design and deliver image-based learning using DetectedX’s award-winning templates and approaches, at the upcoming Association of University Radiologists Annual Meeting, April 25-28 in Austin, TX.
MyImageDx enables educators to leverage existing DetectedX content or load their educational content for easily accessible and secure online learning. Next-generation technology transforms clinicians, educators, and students teaching and learning experiences. The company will also showcase MyImageDx at the SBI Breast Imaging Symposium in Maryland for the first time, May 4-7.
DetectedX was founded to help radiologists and doctors worldwide diagnose breast cancer, lung cancer, and COVID-19 faster and more accurately. Designed based on evidence-based teaching strategies for the imaging workforce, the on-demand, web-based training platform features several teaching templates for uploading, assembling and distributing to users with seamless image-interactive facilities. This includes:
- Diagnostic self-assessment modules, shown to improve senior clinician’s diagnostic abilities, involve the user looking at a predefined number of cases with known truth and diagnosing the image;
- Image quality self-assessment modules: Junior radiologists/radiographers/students can test themselves on judging diagnostic image quality/positioning against experts;
- Quizzes: single patient cases can be shown, often with multi-modality images: users are tested on image appearances;
- MCQs/multiple answer choices: any is an image uploaded with immediate truth provided;
- Videos/presentations: interactions can be built into the delivery with immediate facts given.
Speaking about the development, CEO of DetectedX, and Chair of Diagnostic Imaging at the University of Sydney, Professor Patrick Brennan, said:
MyImageDx provides the best of both worlds in radiology education. Users can leverage DetectedX’s intelligent interactive educational technology and content from world-renowned educators such as Professor László Tabár and Professor Mary Rickard. They can create and organize their content using our award-winning templates and educational approaches.
MyImageDx provides radiology educators access to a personalized imaging educational platform without building it in-house. By assembling all imaging education content in one secure, on-demand location, educators can create a comprehensive library of cases and modules to upskill and engage students and staff. MyImageDx facilitates learning worldwide for peer review, MDT and discrepancy activities for students, radiologists and radiographers anywhere, anytime.
Founded by Professor Patrick Brennan, Professor Mary Rickard, and Dr Moe Suleiman in 2019, DetectedX aims to transform disease detection through intelligent, interactive, web-based educational programs for any clinician or student interested in medical imaging. The company has over 3,000 users in 150 countries; partnerships with major vendors, including GE Healthcare, Fujifilm, and Volpara Health. The platform provides tailored imaging educational solutions on four continents; university integration as part of undergraduate and graduate programs.
Earlier this year, DetectedX announced its partnership with King Saud University, which aims to explore the impact of an innovative, interactive self-assessment platform available 24/7 to every clinician or student wherever in the world they are located.