Structured PREreview of "Data Security in AI Healthcare Applications: Challenges and Innovative Methods"
Abstract
This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/18272597. Does the introduction explain the objective of the research presented in the preprint? Yes It is in line with the objectives that were indicated Are the methods well-suited for this research? Somewhat appropriate Are the conclusions supported by the data? Highly supported Are the data presentations, including visualizations, well-suited to represent the data? Somewhat appropriate and clear How clearly do the authors discuss, explain, and interpret their findings and potential next steps for the research? Very clearly Is the preprint likely to advance academic knowledge? Highly likely Would it benefit from language editing? No Would you recommend this preprint to others? Yes, it's of high quality Is it ready for attention from an editor, publisher or broader audience? Yes, after minor changes Competing interests The authors declare that they have no competing interests. Use of Artificial Intelligence (AI) The authors declare that they did not use generative AI to come up with new ideas for their review.
Fields of Study & Subjects
Privacy-Preserving Technologies in Data
Artificial Intelligence in Healthcare and Education
Internet of Things and AI
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 January 2026
- Language
- EN