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2. Will AI replace doctors who read X-rays, or just make them ...

   www.aol.com/news/ai-replace-doctors-read-x...

   And then there's the potential for cost savings. On average, U.S. radiologists earn over $350,000 annually, according to the Department of Labor. In the near term, experts say AI will work like ...

3. Radiology - Wikipedia

   en.wikipedia.org/wiki/Radiology

   A radiologist interpreting magnetic resonance imaging Dr. Macintyre's X-Ray Film (1896). Radiology (/ ˌ r eɪ d ɪ ˈ ɒ l ə dʒ i / rey-dee-ol-uh-jee) is the medical specialty that uses medical imaging to diagnose diseases and guide treatment within the bodies of humans and other animals.

4. American Society of Radiologic Technologists - Wikipedia

   en.wikipedia.org/wiki/American_Society_of_Radio...

   Within six months of Röntgen's discovery of the x-ray in 1895, physicians were using x-rays to diagnose and treat illness by physicians. However, it didn't take long for physicians to realize that to make the most effective use of their x-ray equipment, someone else had to handle the time-consuming tasks of performing x-ray examinations and developing films. 2

5. Artificial intelligence in healthcare - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence_in...

   One application uses natural language processing (NLP) to make more succinct reports that limit the variation between medical terms by matching similar medical terms. [28] For example, the term heart attack and myocardial infarction mean the same things, but physicians may use one over the over based on personal preferences. [ 28 ]

6. Promising new AI can detect early signs of lung cancer that ...

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   Fintelmann said he sees a future in which the AI tool is helping radiologists make important treatment decisions — not replacing radiologists altogether. “The future of radiology is going to ...

7. Will AI replace doctors who read X-rays, or just make them ...

   www.lite.aol.com/news/story/0001/20240514/3bc95...

   The first large, rigorous trials testing AI-assisted radiologists against those working alone give hints at the potential improvements. Initial results from a Swedish study of 80,000 women showed a single radiologist working with AI detected 20% more cancers among mammograms than two radiologists working without the technology.