Thesis
The use of machine learning in obstetric ultrasound: a mixed methods study examining clinical value and acceptability
- Abstract:
-
Background: Despite its importance, accurate gestational age (GA) estimation remains a significant challenge, especially in low-and middle-income countries. The gold standard, which is to measure the fetal crown rump length between 11-14 weeks, is often not achievable in these settings as women present late in pregnancy or do not have access to trained ultrasonologists. Later GA assessment is currently estimated by fetal biometry, but as gestation advances this becomes les...
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Authors
Contributors
+ Hirst, J
- Institution:
- University of Oxford
- Division:
- MSD
- Department:
- Women's & Reproductive Health
- Role:
- Supervisor
- ORCID:
- 0000-0002-0176-2651
+ Papageorghiou, A
- Institution:
- University of Oxford
- Division:
- MSD
- Department:
- Women's & Reproductive Health
- Role:
- Supervisor
+ Vatish, M
- Institution:
- University of Oxford
- Division:
- MSD
- Department:
- Women's & Reproductive Health
- Role:
- Examiner
- ORCID:
- 0000-0002-6012-2574
+ Stock, S
- Role:
- Examiner
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
-
English
- Keywords:
- Subjects:
- Pubs id:
-
2030327
- Local pid:
-
pubs:2030327
- Deposit date:
-
2024-09-15
- ARK identifier:
Terms of use
- Copyright holder:
- Bradburn, EH
- Copyright date:
- 2023
- Licence:
- CC Attribution (CC BY)
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