US EditionThis job has become the ultimate case study for why AI won’t replace human workers
AI improves radiologists' efficiency by prioritizing scans and summarizing reports but contributes to increased cognitive fatigue and burnout, according to an 8-month US study.
- Generative AI is speeding image review and helping prioritize scans and summarize reports, while a study found it boosted productivity but increased work intensity and intruded on downtime for radiologists and radiology staff.
- Because radiology is highly digitized with abundant image data, Chen says its image analysis and pattern recognition work fits AI well, while René Vidal explores MRI imaging applications.
- Regulatory data show that of 1,357 AI-enabled medical devices with FDA approval, 1,041 target radiology, while BLS projects 7% employment growth.
- Researchers Aruna Ranganathan and Xingqi Maggie Ye found about 200 workers reported that AI initially felt like 'superpowers' but later caused cognitive fatigue, burnout, and weaker decision-making, with Chen warning of staffing risks.
- Experts urge that policymakers and economists discussed last month at Davos and in a White House whitepaper to implement 'AI practice' governance, amid bias risks highlighted by a 2022 MIT study and Goldman Sachs estimating 7% workforce displacement.
10 Articles
10 Articles
By Lisa Eadicicco, CNN. Want to understand how artificial intelligence could change your job? Consider radiology as a clue. Radiology has become a recent talking point in the AI race. It was mentioned multiple times last month by tech executives at the World Economic Forum in Davos, as well as in a White House document on AI and the economy. Radiology is far from the only occupation impacted by AI, which is gradually being integrated into the wo…
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