Application and validation of AI-driven methods to explore patient experiences of pre-cervical cancer.
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| Title: | Application and validation of AI-driven methods to explore patient experiences of pre-cervical cancer. |
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| Authors: | Luo MY; School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom. Electronic address: myl41@cam.ac.uk., Williams CYK; Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, the United States of America. |
| Source: | European journal of obstetrics, gynecology, and reproductive biology [Eur J Obstet Gynecol Reprod Biol] 2026 Feb 20; Vol. 318, pp. 114953. Date of Electronic Publication: 2026 Jan 10. |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 0375672 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7654 (Electronic) Linking ISSN: 03012115 NLM ISO Abbreviation: Eur J Obstet Gynecol Reprod Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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