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

Publication2025

Multi-Attention Based Mechanism for the Automatic Radiology Report Generation

The record

Type
Publication
Date
1 January 2025
Level
National
Journal
3rd International Conference on Advancements in Smart Secure and Intelligent Computing Assic 2025
Published
1 January 2025
DOI
10.1109/assic64892.2025.11158350
Scopus ID
105018059927
Authors
2
Open access
No
Citations
0
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 3 Ensure healthy lives and promote well-being for all at all ages

    GoalPrimaryHigh confidenceJudged

    Multi-attention mechanism generates automatic radiology reports from chest X-ray images using CNN visual features and semantic extraction networks.

    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

    AI-driven medical imaging report generation reduces radiologist workload and improves diagnostic documentation for clinical patient care.

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

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KIIT Deemed to be University. “Multi-Attention Based Mechanism for the Automatic Radiology Report Generation”. Kortex.

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Multi-Attention Based Mechanism for the Automatic Radiology Report Generation · Kortex