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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2025

Cloud-Enabled IoT for Smart Dermatology: A Machine Learning Approach

The record

Type
Publication
Date
1 January 2025
Level
National
Journal
Proceedings of the 2025 International Conference on Artificial Intelligence and Emerging Technology Global AI Summit 2025
Pages
48-53
Published
1 January 2025
DOI
10.1109/aisummit66170.2025.11411156
Scopus ID
105035304078
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

  1. 3.4 Reduce premature mortality from non-communicable diseases and promote mental health and well-being

    TargetPrimaryHigh confidenceJudged

    Cloud-based AI system for automated skin disease diagnosis using CNN and machine learning improves healthcare access in rural areas

    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.
    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

  1. vb-1.2 Health and well-being

    Sub-themePrimaryHigh confidenceJudged

    Digital health technology for dermatological diagnosis provides accessible care and health equity support

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

  2. vb-3.2 Digital technology and artificial intelligence

    Sub-themeSecondaryHigh confidenceJudged

    AI-powered IoT healthcare system demonstrates artificial intelligence application in medical service delivery

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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Citing this record

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KIIT Deemed to be University. “Cloud-Enabled IoT for Smart Dermatology: A Machine Learning Approach”. Kortex.

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