Publication2026
Unveiling new skylines in healthcare medical imaging through SSA optimized CNN framework
The record
- Type
- Publication
- Date
- 12 June 2026
- Level
- National
- Journal
- Aip Conference Proceedings
- Volume
- 3388
- Issue
- 1
- Published
- 12 June 2026
- DOI
- 10.1063/5.0318791
- Scopus ID
- 105042337875
- ISSN
- 0094243X
- Authors
- 6
- 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
Develops CNN framework optimized for medical imaging diagnosis of brain MRI and chest X-ray to improve disease detection and prognosis reliability.
- Certain confidence
- The record states the subject matter explicitly. A reader shown only the title and this goal would agree without hesitation. Example: a workshop titled "Renewable Energy and Smart Grid" against SDG 7.
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Applies swarm intelligence metaheuristic algorithm for hyperparameter tuning in AI model development for healthcare applications.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
AI-enhanced medical imaging directly improves healthcare diagnostic capability and health outcomes for disease identification.
- 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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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Unveiling new skylines in healthcare medical imaging through SSA optimized CNN framework”. Kortex.