AI Models Show Numerous Applications and Benefits for Radiology

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 MRI imaging, can improve patient care with quicker turnaround results, reduces costs, and helps alleviate burnout among radiologists.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.

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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.


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