Shao Y, Zhang YX, Chen HH, Lu SS, Zhang SC, Zhang JX. Advances in the application of artificial intelligence in solid tumor imaging. Artif Intell Cancer 2021; 2(2): 12-24 [DOI: 10.35713/aic.v2.i2.12]
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May 17, 2021, 02:29
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Reader Comments:
This is a sound mini-review of an important topic in general. However, it would have been a more robust reveiw if it had discerned crucial differences between binary vs. multinomial classfications of tumors in terms of methods, results and implications.
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May 15, 2021, 13:20
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Reader Comments:
I agree with the authors that AI will play more significant role in the future of cancer management, including diagnosis, treatment and follow-up. Additionally, helping interpreting the images could have a tremendous effect on reducing the time and pressure on medical specialists, along with improving the quality of diagnosing process.
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Submitted on:
May 14, 2021, 14:39
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Reader Comments:
The authors provide a comprehensive review of the value of artificial intelligence in various oncology applications and explain how it will change the medical workflow.AI is the trend of the future and we should actively learn from it and take advantage of it.
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Submitted on:
April 27, 2021, 08:57
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Reader Comments:
This topic is of great interest, and deemed to be furtherly investigated during a long period. However, the authors have not outlined and described it as a sense and right way. AI, sometimes, can resolve the difficulties other advanced technologies or human could not do. Thus in this review authors should throw great effort to describe and clear what and how AI does process the images, by recognizing the diversity of the graphic grayscale, special molecules, or even some metal ions, which will distingusih the targets from surroundings.
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