Artificial intelligence tech company, Qure.ai expanded its Global AI Super User training to the United States to help prepare healthcare providers find optimal use of the technology.
The move received approval from the American Society of Radiologic Technologists (ASRT) on Wednesday.
The Super User training empowers Healthcare Professionals to apply AI effectively in their daily practice. It teaches them how to transform clinical operations and optimize patient care. Participants also learn to measure and achieve a strong return on their AI investment.
In addition, the program helps build positive, collaborative relationships within the medical community. Through practical tools and real-world examples, professionals gain confidence in using AI to improve outcomes. As a result, they become leaders in driving innovation across their organizations.
The Qure.ai USA Super User initiative builds on global success, including its proven impact within the United Kingdom’s National Health Service (NHS). Now, the program expands its reach in the U.S. with formal recognition.
The ASRT has approved the training for Category A CE credits. Upon completion, participants earn 4 Continuing Education (CE) credits. This approval meets the American Registry of Radiologic Technologists’ (ARRT) high standards for professional development.
As a result, the initiative helps to advance AI adoption while supporting ongoing learning for radiologic professionals across the country.
“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.
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Artificial intelligence is changing the way medicine operates
The Super User Training Program focuses on how AI tools integrate into existing radiology workflows. Participants learn the intended use of these tools, along with their strengths and limitations.
In addition, the program covers the regulatory and ethical frameworks that guide AI deployment in healthcare. It explores protocols for clinical review and post-market surveillance to ensure ongoing safety and effectiveness.
The training also emphasizes the role of patient and public involvement in shaping responsible, AI-driven care. To reinforce learning, participants will see 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,” said Shamie Kumar, senior director and radiographer for Qure.AI.
Artificial intelligence is transforming the medical profession by streamlining diagnostics, improving accuracy, and reducing administrative burden.
Already, AI tools assist with early detection of diseases such as cancer, stroke, and tuberculosis, allowing clinicians to intervene sooner and with greater precision. In the future, AI will further personalize treatment plans by analyzing large datasets that reveal patient-specific insights.
One example of this shift is Breath Diagnostics, which combines AI with advanced microreactor technology to detect disease biomarkers in exhaled breath. This non-invasive approach offers rapid, point-of-care diagnostics for conditions like lung cancer.
As AI continues to evolve, it will also enhance clinical decision support, improve patient triage, and enable more efficient resource allocation. Ultimately, artificial intelligence is not replacing healthcare professionals, but augmenting their abilities to deliver better, faster, and more informed care.
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joseph@mugglehead.com
