Exploring the possibilities and limitations of customized large language model to support and improve cervical cancer screening

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Bibliographische Detailangaben
Veröffentlicht in:	BMC Medical Informatics and Decision Making vol. 25 (2025), p. 1-17
1. Verfasser:	Angyal, Viola
Weitere Verfasser:	Bertalan, Ádám, Domján, Péter, Elek Dinya
Veröffentlicht:	Springer Nature B.V.
Schlagworte:	American Cancer Society OpenAI Application programming interface Mortality Females Python Prompt engineering Human papillomavirus Immunization Cervical cancer User needs Artificial intelligence Public health Vaccination Medical screening Patient education Cancer screening Language Clinical trials Accuracy Medical research Vaccines User experience Applications programs Disease prevention Statistical analysis Customization Physicians Questions Performance measurement Large language models Information dissemination Cancer Cloud computing Programming languages Natural language processing
Online-Zugang:	Citation/Abstract Full Text Full Text - PDF
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