Publication2025
Analyzing Security Implications for Artificial Intelligence Driven Medical Training Simulations
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- 2025 International Conference on Next Generation of Green Information and Emerging Technologies Giet 2025
- Published
- 1 January 2025
- DOI
- 10.1109/giet65294.2025.11234759
- Scopus ID
- 105031012821
- Authors
- 9
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3 Ensure healthy lives and promote well-being for all at all ages
Security analysis of AI-driven medical training simulations addresses healthcare information protection and ensures reliable clinical education systems.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
4 Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
Medical training simulation security and robustness improvement supports quality health professional education and clinical competency development.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
AI-driven medical simulations represent digital technology application in healthcare training and professional education advancement.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “Analyzing Security Implications for Artificial Intelligence Driven Medical Training Simulations”. Kortex.
