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AI-based lung cancer detection training, approved by the American Society of Radiologic Technologists (ASRT), is now available from Qure.ai.

AI-driven lung cancer detection tool developed by Qure.ai gains approval from the American Society of Radiologic Technologists and is now available in the US.

Artificial intelligence company Qure.ai secures approval for lung cancer AI training from the...
Artificial intelligence company Qure.ai secures approval for lung cancer AI training from the American Society of Radiologic Technologists (ASRT)

AI-based lung cancer detection training, approved by the American Society of Radiologic Technologists (ASRT), is now available from Qure.ai.

The American Society of Radiologic Technologists (ASRT) has given its approval to Qure.ai's expansion of its Global AI Super User Training program to the United States. This training program, now available in the US, aims to provide a foundational understanding of Artificial Intelligence (AI) and its role in radiology.

The program covers essential topics such as AI deployment regulations, ethical frameworks, clinical review protocols, and post-market surveillance. It also includes a practical demonstration of the deployed system in a clinical setting, emphasizing the importance of hands-on learning.

Shamie Kumar, Senior Director and Radiographer at Qure.ai, reaffirmed the program's goals, stating that it aims to give users a foundational understanding of AI and its role in radiology, as well as the confidence to use and lead its integration into clinical practice.

The endorsements for the program validate its educational quality and professional value, equipping radiographers and radiology technicians with the skills to integrate AI into their practices. The training equips Healthcare Professionals with the knowledge and skills to apply AI effectively in practice.

The recognition aligns with the American Registry of Radiologic Technologists' (ARRT) rigorous standards for professional development, further emphasizing the program's quality.

The Qure.ai Super User Training program also highlights the importance of patient and public involvement in AI-driven initiatives. It focuses on understanding AI integration into existing radiology workflows, aiming to enhance diagnostic confidence, clinical decision-making, and patient outcomes by enabling users to leverage AI outputs effectively.

While explicit details and formal approval status of Qure.ai AI Super User Training in the US are not publicly available, it is reasonable to infer that the program would focus on training clinicians and healthcare providers to effectively and ethically use Qure.ai’s AI diagnostic tools, emphasizing real-world applications, regulatory compliance (FDA-related), data privacy, and trust-building.

For the most accurate and up-to-date details on Qure.ai AI Super User Training approval in the US, direct inquiries to Qure.ai or FDA databases are recommended.

  1. The Qure.ai Super User Training program, now available in the United States, emphasizes the role of artificial intelligence (AI) in digital health, with a focus on radiology.
  2. The training program covers essential topics such as AI deployment regulations, ethical frameworks, clinical review protocols, post-market surveillance, and hands-on learning in a clinical setting.
  3. The program equips medical professionals with the skills to integrate AI into their patient care practices, particularly in radiology, enhancing diagnostic confidence, clinical decision-making, and patient outcomes.
  4. This training program aligns with the American Registry of Radiologic Technologists' (ARRT) standards for professional development, indicating a high level of quality and educational value.
  5. The training also emphasizes the importance of understanding AI integration into existing workflows, public involvement in AI-driven initiatives, and ensuring compliance with FDA regulations, data privacy, and trust-building in AI-enhanced health and wellness.

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