AI in Radiology: Are Radiologic Technologists Being Replaced or Redefined?

About this episode

This episode discusses the impact of AI on radiologic technologists and explores whether they are being replaced or redefined in their roles.

AI in Radiology: Are Radiologic Technologists Being Replaced or Redefined? If you’ve ever felt your stomach drop when someone mentions AI in your department, this episode is for you. Chaun sits down with Jordan Hermiller, MHA, RT(R)(QM), CPHQ — a radiologic technologist and Technical Manager at Agfa Radiology Solutions — to cut through the noise around AI in radiography. Jordan has been a working rad tech, a radiology manager, a university instructor, and a published researcher. Now he works at the intersection of clinical practice and real-world AI implementation. He gets both sides. In this episode: • Why AI feels so dominant in radiology right now — and what’s actually driving it • The difference between real AI and rebranded automation — and how to tell them apart • What “autonomous x-ray” actually means in a real clinical environment • How workforce shortages and AI intersect — and what that means for your job • New roles opening up for radiologic technologists as AI becomes standard • When to trust an AI recommendation — and when to push back This episode is brought to you in paid partnership with Agfa Radiology Solutions. Connect with Jordan Hermiller: LinkedIn Learn more…

People in this episode

Host: Chaun

Guest: Jordan Hermiller

Topics covered

• AI in Radiology
• Radiologic Technologists
• Workforce Shortages
• Clinical Practice
• Automation
• Job Redefinition

Keywords

• AI
• Radiology
• Radiologic Technologists
• Automation
• Clinical Environment
• Workforce
• Job Roles

Sponsors

Agfa Radiology Solutions

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