Qure.ai introduces Lung Cancer AI training with ASRT approval to support USA deployments

To prepare healthcare workforces and providers for an AI-driven future, Qure.ai has expanded its Global AI Super User Training, to the United States. It has received approval from the American Society of Radiologic Technologists (ASRT). The Super User training equips Healthcare Professionals with the knowledge and skills to effectively apply AI in practice, transform clinical operations, optimize patient care, gain a solid return on AI investment, and foster positive partnerships within the medical community. 

The Qure.ai USA Super User initiative builds on global success in regions such as the UK and its National Health Service (NHS). ASRT has approved the program for Category A CE credits, granting participants 4 Continuing Education (CE) credits for course completion. This recognition aligns with the American Registry of Radiologic Technologists’ (ARRT) rigorous standards for professional development. 

“Our expansion of the AI Super User Training program represents Qure.ai’s dedication to continuous learning and professional development within the imaging community,” said Samir Shah MD, Chief Medical Officer at Qure.ai. “With educational endorsements, we are now able to deliver formalized, professionally recognized training directly to hospitals, providing imaging professionals with an opportunity to gain CE credits while enhancing their skills in AI implementation and scaling adoption. By investing in the ongoing education of these caregivers, we can leverage AI as a transformative force, driving impactful partnerships within clinical environments.” 

The Super User Training Program will have a critical focus on understanding how AI tools are integrated into the existing radiology workflows, including their intended use, strengths, and constraints. Participants will also engage with the regulatory and ethical frameworks governing AI deployment, alongside protocols for clinical review and post-market surveillance. The importance of patient and public involvement in AI-driven initiatives will be highlighted. The program will also include a practical demonstration of the deployed system in a clinical setting. 

“This program is designed to build a foundational understanding of AI and its evolving role in radiology. AI is reshaping radiology fast and users need to be at the centre of that shift. This program is built to give, not just a working knowledge of AI, but the confidence to use it, and lead its integration into clinical practice”, said Shamie Kumar, Senior Director and Radiographer, Qure.ai.  

The Qure.ai Super User endorsements in the US validate educational quality and professional value. These accreditations ensure radiographers and radiology technicians are equipped to integrate AI into their practices confidently, supporting digital evolution while fulfilling Continuing Education and professional development obligations.