Increasing the accuracy of handwriting text recognition in medical prescriptions with generative artificial intelligence

Yakovchuk, Oleg; Vasin, Maksym

Please use this identifier to cite or link to this item: https://hdl.handle.net/11159/631582

Title:

Increasing the accuracy of handwriting text recognition in medical prescriptions with generative artificial intelligence

Journal:

Technology audit and production reserves

Authors:

Yakovchuk, Oleg
Vasin, Maksym

e-ISSN:

2706-5448

Document Type:

Article

Year of Publication:

2023

Open Content License:

Original URL:

https://journals.uran.ua/tarp/article/download/284998/280627/661665

Persistent Identifier of the first edition:

doi:10.15587/2706-5448.2023.284998

Language:

English (eng)

Citation:

Yakovchuk, Oleg/Vasin, Maksym (2023). Increasing the accuracy of handwriting text recognition in medical prescriptions with generative artificial intelligence. In: Technology audit and production reserves 4 (2/72), S. 18 - 21.
https://journals.uran.ua/tarp/article/download/284998/280627/661665.
doi:10.15587/2706-5448.2023.284998.

Appears in Collections:

Open Access ZBW

Files in This Item:

File

Description

Size

Format

1868781186_0.pdf
download file

568.78 kB

Adobe PDF

Download Statistics

BibTeX-Export