Publication2026
Explainable AI for Early Stroke Detection from Brain CT Images
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- Esic 2026 Proceedings 6th International Conference on Emerging Systems and Intelligent Computing
- Pages
- 552-557
- Published
- 1 January 2026
- DOI
- 10.1109/esic68176.2026.11495716
- Scopus ID
- 105040812641
- Authors
- 2
- Open access
- No
- Citations
- 1
- 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
3.4 Reduce premature mortality from non-communicable diseases and promote mental health and well-being
Framework detects ischemic and hemorrhagic strokes in brain CT images with Grad-CAM visualization to support clinical diagnosis and improve patient outcomes from timely intervention.
- 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
Viksit Bharat @2047
vb-1.2 Health and well-being
Explainable AI for stroke detection directly supports neurological health assessment and clinical decision-making.
- 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
Each label above carries the instrument and the version that produced it. How each classification is reached.
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Provenance
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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. “Explainable AI for Early Stroke Detection from Brain CT Images”. Kortex.