AI models show numerous applications and benefits for radiology
As artificial intelligence evolves and advances the ways in which clinicians care for patients, there will be new impacts on outpatient radiology technology. Already, AI in outpatient radiology enhances radiology screenings by boosting the detection capabilities and accuracy of underlying diseases and cancers. Further, AI in radiology helps with image analysis, improves the accuracy of
As artificial intelligence evolves and advances the ways in which clinicians care for patients, there will be new impacts on outpatient radiology technology.
Already, AI in outpatient radiology enhances radiology screenings by boosting the detection capabilities and accuracy of underlying diseases and cancers. Further, AI in radiology helps with image analysis, improves the accuracy of MRI imaging, can improve patient care with quicker turnaround results, reduces costs, and helps alleviate burnout among radiologists.
Future technological advancements will continue transforming the medical imaging space, said Dr. John Simon, CEO of SimonMed Imaging. Simon will discuss AI and radiology imaging at HIMSS25 in March in a session titled “The Future of Imaging: AI in Outpatient Radiology and MRIs.”
Simon has been practicing radiology for more than 3src years with special expertise in women’s imaging, body imaging and interventional. He graduated in three years at the age of 2src from Harvard with Phi Beta Kappa and summa cum laude honors. Simon completed medical school at the University of Chicago and accelerated radiology training and fellowship training at the University of Michigan.
We sat down with the doctor to discuss his HIMSS25 session to get a preview for readers.
Q. What specifically will you be addressing in your session?
A. The overarching theme of my session is the transformative potential of AI in radiology, with a specific focus on outpatient imaging and MRIs. 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 through the foundation of AI in radiology and allow them to comprehend key points they can apply to their healthcare professionalism.
Today, technology is reshaping healthcare across the board, and radiology screenings are no exception. The integration of AI in radiology has become a critical topic for healthcare and health IT professionals because healthcare professionals continuously seek to understand and adapt to new changes and advancements in the industry.
This session is particularly relevant to those who are keen on actively learning advancing tools to incorporate into their own toolkit to enhance diagnostic accuracy, improve patient outcomes and streamline workflows. By coming to the session, HIMSS25 attendees will gain a clear understanding of how AI is driving changes in healthcare.
Q. What is the primary AI focus of your session and what are some examples of AI in action?
A. My speaking session primarily will focus on AI models and their transformative applications in radiology. I will speak about case studies showcasing the use of AI technologies such as cardiac AI for preventive care, lung CT and AI as a “second read,” and bone X-rays with AI for accelerated results.
My session covers each of these AI models as using AI as a reliable source that can be used for preventive care tactics, using a second read for MRI results, and using AI to increase speed for results. By exploring these case studies, the audience will gain a valuable understanding of how AI is reshaping radiology and driving broader advancements in healthcare.
Q. What is just one of the various takeaways you hope HIMSS25 attendees will leave your session with and be able to apply when they return home to their organizations?
A. One key takeaway I hope HIMSS25 attendees will gain from my session is actionable ways to integrate AI into their healthcare practices, particularly in radiology, as well as give confidence and reassurance to those who are nervous about using AI in healthcare.
AI is the most personalized and advanced technology available on the market today – using it for the first time can be intimidating and daunting. After this session, I hope to teach my attendees how to use AI in the radiology practice efficiently and effectively, without having doubts or worries about AI capabilities.
Simon’s session, “The Future of Imaging: AI in Outpatient Radiology and MRIs,” is scheduled for Tuesday, March 4 from 2:15 -3:15 p.m. at HIMSS25 in Las Vegas.
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Email him: bsiwicki@himss.org
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