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Manuscript Reader Comments
Morilla I. Repairing the human with artificial intelligence in oncology. Artif Intell Cancer 2021; 2(5): 60-68 [DOI: 10.35713/aic.v2.i5.60]
Reader's ID:
04232460
Submitted on:
November 03, 2021, 04:26
Reader Expertise:
Reader’s expertise on the topic of the manuscript
Conflicts-of-Interest Statement:
Does the reader have a conflict of interest?
Reader Comment Standards for Published Articles:
1 Title
Does the title reflect the main subject/hypothesis of the manuscript?
2 Abstract
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3 Key Words
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4 Background
Does the manuscript adequately describe the background, present status and significance of the study?
5 Methods
Does the manuscript describe methods (e.g., experiments, data analysis, surveys, and clinical trials, etc.) in adequate detail?
6 Results
Are the research objectives achieved by the experiments used in this study?
Has the study made meaningful contributions towards research progress in this field?
7 Discussion
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8 Illustrations and Tables
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9 Biostatistics
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10 Units
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11 References
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12 Quality of manuscript organization and presentation
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Scientific Quality:
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Reader Comments:
Authors concluded that the article had AI models are related to: (1) the high dependency of the model on the data scale; (2) choice of a proper computational environment, and (3) practical problems of time or computational cost should be assumed. Thus, the future challenges in this discipline begin by smoothing such obstacles as much as possible, which will ultimately end up with AI as the tool of reference in healthcare institutions for a much broader analysis in oncology. Machine learning algorithms and software tools are going to play a vital role in the AI based assessments.
Reply from the Editorial Office:
Thank you very much for your comments.