2 answers
Kylie
Student
Keyser, West Virginia
1
Question
Updated
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How will AI reshape or be involved in diagnostic radiology and the role of radiologist in the future? #SPRING25
I am a senior in high school wanting to pursue a degree in radiologic technology.
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2 answers
Patrick Meyer
Executive - Data Analytics and AI
1021
Answers
Naperville, Illinois
Updated
Patrick’s Answer
Kaylie, you should know that based on my experience in the data and AI space, AI is transforming diagnostic radiology in significant ways, but based on what I know it is creating more opportunities than threats for future radiologists. Think of it this way, rather than replacing radiologists, AI is becoming a powerful assistant that handles routine tasks, allowing radiologists to focus on complex cases and patient interactions. Remember AI isn’t necessarily to replace people, but free-up people to do other things. Think of it as Augment Intelligence.
Modern AI systems can now detect common abnormalities like lung nodules, bone fractures, and breast lesions with impressive accuracy. This technology helps radiologists work more efficiently by flagging potential areas of concern, reducing the risk of missed findings, and prioritizing urgent cases. As you begin your career in radiologic technology, you'll likely be working alongside these AI systems, not competing with them.
As with any other role in today’s workforce, the radiologist's role is evolving to include new responsibilities. I believe that future radiologists will need to understand how to effectively use AI tools, recognize their limitations, and override them when necessary. They will be required to interpret complex cases that AI struggles with, integrate findings across multiple imaging studies, and communicate results directly to patients and other healthcare providers. Your education in radiologic technology should prepare you for this collaborative human-AI workflow.
Kaylie please understand that for anyone entering this field, the shift represents an exciting opportunity. You'll need a strong foundation in traditional radiology combined with technical literacy in AI systems. This does not mean you have to be an expert in AI or building AI Models, just means that you will need to know how to use them and provide input to make them more effective. This dual expertise will make you invaluable in healthcare settings where technology and human judgment must work together. Programs are increasingly incorporating AI education into radiologic technology curricula to prepare students for this future. As you move forward with your education in radiologic technology, embrace both the traditional aspects of radiology and emerging AI technologies.
Modern AI systems can now detect common abnormalities like lung nodules, bone fractures, and breast lesions with impressive accuracy. This technology helps radiologists work more efficiently by flagging potential areas of concern, reducing the risk of missed findings, and prioritizing urgent cases. As you begin your career in radiologic technology, you'll likely be working alongside these AI systems, not competing with them.
As with any other role in today’s workforce, the radiologist's role is evolving to include new responsibilities. I believe that future radiologists will need to understand how to effectively use AI tools, recognize their limitations, and override them when necessary. They will be required to interpret complex cases that AI struggles with, integrate findings across multiple imaging studies, and communicate results directly to patients and other healthcare providers. Your education in radiologic technology should prepare you for this collaborative human-AI workflow.
Kaylie please understand that for anyone entering this field, the shift represents an exciting opportunity. You'll need a strong foundation in traditional radiology combined with technical literacy in AI systems. This does not mean you have to be an expert in AI or building AI Models, just means that you will need to know how to use them and provide input to make them more effective. This dual expertise will make you invaluable in healthcare settings where technology and human judgment must work together. Programs are increasingly incorporating AI education into radiologic technology curricula to prepare students for this future. As you move forward with your education in radiologic technology, embrace both the traditional aspects of radiology and emerging AI technologies.
Ammar Mandviwala
Software Product Manager
2
Answers
Houston, Texas
Updated
Ammar’s Answer
AI is likely to play a key role in assisting radiologists. After scans are completed, an AI-powered application can initially review the results and present them to the radiologist. The radiologist can then quickly confirm, modify, or further analyze the findings. This process speeds up outcomes, especially in emergencies, allowing for faster decision-making and actions.
Note: I am not a doctor or medical professional, but my background in software product engineering allows me to foresee such AI-enabled applications.
Note: I am not a doctor or medical professional, but my background in software product engineering allows me to foresee such AI-enabled applications.