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
3.4 Reduce premature mortality from non-communicable diseases and promote mental health and well-being
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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
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
vb-1.2 Health and well-being
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
Each label above carries the instrument and the version that produced it. How each classification is reached.
Evidence
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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. “Predicting heart dose in left-sided breast cancer patients using volumetric modulated arc therapy: an anatomical feature-driven machine learning model”. Kortex.
