Summary of From Data to Insights: a Comprehensive Survey on Advanced Applications in Thyroid Cancer Research, by Xinyu Zhang et al.
From Data to Insights: A Comprehensive Survey on Advanced Applications in Thyroid Cancer Research
by Xinyu Zhang, Vincent CS Lee, Feng Liu
First submitted to arxiv on: 8 Jan 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper presents a comprehensive systematic review and taxonomy of machine learning-based applications in thyroid cancer pathogenesis, diagnosis, and prognosis. The authors analyzed 758 studies to identify the various AI techniques used in thyroid cancer research, providing an in-depth analysis of these applications. The review highlights key challenges encountered in this domain and proposes future research opportunities. The paper aims to facilitate the research community’s ability to stay abreast of technological advancements and emerging trends in this field. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Thyroid cancer is a serious health issue that affects many people worldwide. Researchers are using artificial intelligence (AI) to help detect this disease early, which can reduce its impact on public health. This paper looks at how AI is being used in thyroid cancer research, including diagnosis and prognosis. The authors studied 758 papers to understand the different ways AI is being applied in this field. They found some common challenges and suggested future areas for study. |
Keywords
* Artificial intelligence * Machine learning
