Artificial intelligence in predicting, diagnosing and preventing sexually transmitted infections (STIs)
Artificial intelligence in predicting, diagnosing and preventing sexually transmitted infections (STIs)
Taneja, Jyoti
1497bccc-28c1-4af7-bc4d-eab3f11a7c14
Ghosh, Joyeta
2c0ec35c-85d3-4fcc-a6e7-f83b0aae8343
Kant, Ravi
7701bda0-8d8b-4c7b-b988-75f6da612e2a
Christodoulides, Myron
eba99148-620c-452a-a334-c1a52ba94078
4 April 2025
Taneja, Jyoti
1497bccc-28c1-4af7-bc4d-eab3f11a7c14
Ghosh, Joyeta
2c0ec35c-85d3-4fcc-a6e7-f83b0aae8343
Kant, Ravi
7701bda0-8d8b-4c7b-b988-75f6da612e2a
Christodoulides, Myron
eba99148-620c-452a-a334-c1a52ba94078
Taneja, Jyoti, Ghosh, Joyeta, Kant, Ravi and Christodoulides, Myron
(2025)
Artificial intelligence in predicting, diagnosing and preventing sexually transmitted infections (STIs).
Venereology, 4 (5).
(doi:10.3390/venereology4020005).
Text
venereology-04-00005-v2
- Version of Record
More information
Accepted/In Press date: 30 March 2025
Published date: 4 April 2025
Identifiers
Local EPrints ID: 501153
URI: http://eprints.soton.ac.uk/id/eprint/501153
PURE UUID: a1724eb6-ae26-4a4d-a8dd-ebde5bc72b6c
Catalogue record
Date deposited: 27 May 2025 16:54
Last modified: 22 Aug 2025 01:34
Export record
Altmetrics
Contributors
Author:
Jyoti Taneja
Author:
Joyeta Ghosh
Author:
Ravi Kant
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics