PERCEPTION OF HEALTH CARE WORKERS ON ARTIFICIAL INTELLIGENCE BASED MALARIA DIAGNOSIS IN SOUTHWESTERN NIGERIA.
None of the respondents had knowledge of artificial intelligence-based malaria diagnosis; however, respondents affirmed that artificial intelligence-based malaria diagnosis will be a better alternative to conventional methods of malaria diagnosis.
Authors
- A.O. Coker (ORCID: https://orcid.org/0000-0002-2065-7179)
- Paula Casserly
- N. Idusuyi (ORCID: https://orcid.org/0000-0002-0722-8919)
- Debo Adebowale Ademola
- OS Michael (ORCID: https://orcid.org/0000-0003-0783-7201)
- E Bukoye
- P Whiley
Institutions
- University of Ibadan (NG)
Publication Details
- Journal
- PubMed
- Published
- 2024-12-31
- Primary Topic
- Digital Imaging for Blood Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00