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Artificial intelligence in predicting, diagnosing and preventing sexually transmitted infections (STIs)

Artificial intelligence in predicting, diagnosing and preventing sexually transmitted infections (STIs)
Artificial intelligence in predicting, diagnosing and preventing sexually transmitted infections (STIs)
Taneja, Jyoti
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Ghosh, Joyeta
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Kant, Ravi
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Christodoulides, Myron
eba99148-620c-452a-a334-c1a52ba94078
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).

Record type: Editorial
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venereology-04-00005-v2 - Version of Record
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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
ORCID for Ravi Kant: ORCID iD orcid.org/0009-0007-6348-4638
ORCID for Myron Christodoulides: ORCID iD orcid.org/0000-0002-9663-4731

Catalogue record

Date deposited: 27 May 2025 16:54
Last modified: 22 Aug 2025 01:34

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Contributors

Author: Jyoti Taneja
Author: Joyeta Ghosh
Author: Ravi Kant ORCID iD

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