Raw LLM Responses

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I am also a private practice radiologist. Imaging volume is increasing at a rapid rate, and AI may one day help us deal with this issue by filtering out normal simple exams so that we can focus on more complex studies. This rate of imaging volume increase is faster year over year than our training programs can train new radiologists. In the recent history of our profession, there have been 3 tech advances that have helped us to be more efficient and deal with the ever-increasing volume: 1. PACS systems with digital images….no more handling of actual film. 2. High speed internet…allows remote work and rapid transmission of studies. 3. Voice recognition dictation software…allows the use of macros and shortens turnaround times. If AI can be refined to the point of trust and usability, this may be the next major step that allows our specialty to deal with the increasing workload. As Dr. Cellini states, there are limits to human performance. He also touched upon the fact that we have been already using AI in breast imaging. This has been commonplace for 30 years now, and it’s utility is questionable. While AI may augment what we do in the future, I do not see the demand for radiology as a medical specialty decreasing any time soon.
youtube AI Jobs 2024-10-03T01:4… ♥ 3
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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