AI-powered lung cancer detection training, granted approval by the American Society of Radiological Technologists (ASRT)
The American Society of Radiologic Technologists (ASRT) has approved the expansion of Qure.ai's AI Super User Training program to the United States. This development represents Qure.ai's commitment to continuous learning and professional development within the imaging community.
The program, designed to equip healthcare professionals with the necessary skills to effectively apply AI in practice, will have a critical focus on understanding how AI tools are integrated into the existing radiology workflows. Participants will engage with the regulatory and ethical frameworks governing AI deployment, alongside protocols for clinical review and post-market surveillance.
Dr. Samir Shah, Chief Medical Officer at Qure.ai, stated, "The expansion of the AI Super User Training program signifies Qure.ai's dedication to fostering a culture of continuous learning and professional development within the imaging community."
The Qure.ai USA Super User initiative builds on global success in regions such as the UK and its National Health Service (NHS). Shamie Kumar, Senior Director and Radiographer at Qure.ai, stated that the program is designed to build a foundational understanding of AI and its evolving role in radiology.
The program will include a practical demonstration of the deployed system in a clinical setting. This hands-on approach is intended to provide participants with real-world experience, enhancing their ability to apply AI in their own practices.
The accreditations ensure radiographers and radiology technicians are prepared to confidently integrate AI into their practices. The ASRT has approved the program for Category A CE credits, offering participants 4 Continuing Education (CE) credits for course completion.
The Qure.ai Super User Training program has received endorsements for its educational quality and professional value. The importance of patient and public involvement in AI-driven initiatives will be highlighted throughout the program.
The digital evolution of radiology is a significant step forward in healthcare, offering enhanced diagnostic capabilities, reduced workload, improved patient outcomes, and the need to develop AI literacy and trust in automated systems.
For more specific information, such as official announcements or program curriculum details, it is recommended to check Qure.ai’s official website or press releases directly.
- The Qure.ai Super User Training program, endorsed for Category A CE credits by the ASRT, will provide participants with a comprehensive understanding of digital health, focusing on the integration of AI tools into medical-conditions diagnosis and patient care.
- Alongside understanding the role of AI in health-and-wellness technology and radiology workflows, the program will cover the ethical and regulatory frameworks that govern its deployment, emphasizing the need for AI literacy and building trust in artificial-intelligence systems.
- The program aims to equip participants with the practical skills and experience needed to apply AI to their own practices, offering a hands-on demonstration of the technology in a clinical setting as part of its curriculum.
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