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

Publication2025

Predicting heart dose in left-sided breast cancer patients using volumetric modulated arc therapy: an anatomical feature-driven machine learning model

The record

Type
Publication
Date
31 March 2025
Level
National
Journal
Journal of Radiotherapy in Practice
Volume
24
Published
31 March 2025
DOI
10.1017/s146039692400030x
Scopus ID
105003763818
ISSN
14603969
Authors
4
Open access
Yes
Citations
2
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

    Develops machine learning model using anatomical features to predict heart dose in volumetric modulated arc therapy for left-sided breast cancer treatment planning.

    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
  2. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetSecondaryHigh confidenceJudged

    Advances artificial intelligence application in personalized cancer radiotherapy through elastic net regression models for patient-specific treatment optimization.

    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-enhanced cancer treatment through predictive modeling to reduce cardiac toxicity and improve health outcomes in breast cancer radiotherapy.

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

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1

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Citing this record

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KIIT Deemed to be University. “Predicting heart dose in left-sided breast cancer patients using volumetric modulated arc therapy: an anatomical feature-driven machine learning model”. Kortex.

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