Interdisciplinary Collaboration
Research gap analysis derived from 2 engineering papers in our local library.
The gap
There is a need for ongoing interdisciplinary collaboration to address ethical transparency and explainability in AI-driven medical applications across various clinical contexts.
Consensus across the literature
The papers collectively establish the importance of interdisciplinary approaches but leave open specific methods and success criteria for achieving ethical standards.
Research trend
Emerging — attention growing, methods still coalescing.
Supporting evidence — 2 representative gaps
- Emergence of Artificial Intelligence in Multiple Domains of Neurology: A Review (2026) · doi
Ethical transparency in AI-driven neurological systems requires interdisciplinary collaboration among neurologists, data scientists, ethicists, and policymakers.
Keywords: ethical transparency driven neurological systems requires interdisciplinary collaboration among neurologists scientists ethicists policymakers - Real Life Applications of Mathematics (2026) · doi
Continued investment in interdisciplinary mathematical research, education, and collaboration will be key to shaping a better future and promoting transparency and ethical practices in the use of mathematical tools.
Keywords: mathematical continued investment interdisciplinary education collaboration shaping better future promoting transparency ethical practices tools
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