Journal article
Oesophageal cancer multi-disciplinary tool: a co-designed, externally validated, machine learning tool for oesophageal cancer decision making
- Abstract:
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BackgroundThe oesophageal cancer (OC) multi-disciplinary team (MDT) operates under significant pressures, handling complex decision-making. Machine learning (ML) can learn complex decision-making paradigms to improve efficiency, consistency, and cost if trained and deployed responsibly. We present an externally validated ML-based clinical decision support system (CDSS) designed to predict OC MDT treatment decisions and prognosticate palliative scenarios, co-designed using Responsible Research...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 8.8MB, Terms of use)
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- Publisher copy:
- 10.1016/j.eclinm.2025.103527
Authors
- Publisher:
- Elsevier
- Journal:
- EClinicalMedicine More from this journal
- Volume:
- 89
- Pages:
- 103527
- Publication date:
- 2025-09-30
- DOI:
- EISSN:
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2589-5370
- ISSN:
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2589-5370
- Pmid:
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41079022
- Language:
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English
- Keywords:
- Pubs id:
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2309363
- Local pid:
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pubs:2309363
- Source identifiers:
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3391431
- Deposit date:
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2025-10-21
- ARK identifier:
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- Copyright date:
- 2025
- Licence:
- CC Attribution (CC BY)
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