As artificial intelligence develops and the ways in which doctors care for patients evolve, there will be new impacts on outpatient radiology technology.
actually, Artificial intelligence in outpatient radiology enhances radiology examinations By enhancing the detection capabilities and accuracy of basic diseases and cancers. Furthermore, AI in radiology helps with image analysis, improves MRI accuracy, can improve patient care through faster results, reduces costs, and helps alleviate burnout among radiologists.
Dr. John Simon, CEO of SimonMed Imaging, said future technological developments will continue to transform the field of medical imaging. Simon will discuss AI and radiography at HIMSS25 in March in a session titled “The Future of Imaging: Artificial Intelligence in External Radiology and MRI.”
Simon has been practicing radiology for over 30 years and has particular expertise in gynecological, body imaging and interventional imaging. He graduated in three years at the age of 20 from Harvard University with Phi Beta Kappa and magna cum laude. Simon completed medical school at the University of Chicago and accelerated radiology and fellowship training at the University of Michigan.
We sat down with the doctor to discuss the HIMSS25 session to get readers a preview.
Q: What specifically will you cover in your session?
A. The main theme of my session is the transformative potential of AI in radiology, with a particular focus on outpatient imaging and MRI. My session highlights the key benefits of AI in radiology, presents case studies demonstrating AI in outpatient imaging, and describes how AI is transforming healthcare as a disruptive and innovative tool.
My session will guide attendees on the foundations of AI in radiology and allow them to understand key points that they can apply to their healthcare professionalism.
Today, technology is reshaping healthcare in all areas, and radiological examinations are no exception. Integrating artificial intelligence into radiology It has become a critical topic for healthcare and health IT professionals because healthcare professionals are constantly striving to understand and adapt to new changes and developments in the industry.
This session is particularly relevant to those who are keen on actively learning advanced tools to incorporate into their toolkit to enhance diagnostic accuracy, improve patient outcomes, and streamline workflow. By attending the session, HIMSS25 attendees will gain a clear understanding of how AI is driving changes in healthcare.
S. What is the primary focus on AI in your session and what are some examples of AI in action?
A. My speaking session will focus primarily on AI models and their transformative applications in radiology. I will talk about case studies that showcase the use of AI technologies such as cardiac AI for preventive care, lung CT and AI as a “second reading,” and bone X-rays with AI for rapid results.
My session covers each of these AI models such as using AI as a trusted resource that can be used in preventive care approaches. Using the second reading of the MRI resultsAnd using artificial intelligence to increase the speed of results. By exploring these case studies, audiences will gain a valuable understanding of how AI is reshaping radiology and driving broader progress in healthcare.
S. What’s just one of the various takeaways you hope HIMSS25 attendees will leave your session with and be able to bring to the table when they return to their organizations?
A. One of the key takeaways that I hope HIMSS25 attendees will take away from my session are practical ways to integrate AI into their healthcare practices, particularly in radiology, as well as giving confidence and reassurance to those who are concerned about the use of AI in healthcare.
AI is the most personalized and advanced technology available on the market today – and using it for the first time can be intimidating and daunting. After this session, I hope to teach attendees how to use AI in radiology practice efficiently and effectively, without having any doubts or concerns about AI’s capabilities.
Simon’s session “The Future of Imaging: Artificial Intelligence in External Radiology and MRI” is scheduled for Tuesday, March 4 from 2:15-3:15 p.m. at HIMSS25 in Las Vegas.
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