Artificial intelligence: a useful tool in active tuberculosis screening among vulnerable groups in Romania - advantages and limitations
Our study brings to the fore the significance of integrating AI software X-vision with bacteriological diagnosis in detecting TB among vulnerable groups in Romania. This underscores the imperative at the global level to develop solutions in the prompt diagnosis of TB, particularly within vulnerable groups.
Authors
- Mihaela Mihai (ORCID: https://orcid.org/0000-0003-0326-5402)
- Mara Amalia Bălteanu (ORCID: https://orcid.org/0009-0004-8409-5904)
- Dragoș Băiceanu (ORCID: https://orcid.org/0000-0002-1219-0011)
- Mădălina Oana Burecu
- Beatrice Mahler (ORCID: https://orcid.org/0000-0002-9240-922X)
- Ioana Munteanu (ORCID: https://orcid.org/0000-0001-7986-8731)
- Alexandru Stoichiță (ORCID: https://orcid.org/0000-0003-1115-2379)
- Vanessa Veronese (ORCID: https://orcid.org/0000-0001-5656-2430)
- Oana Popescu
- Traian Constantin Panciu (ORCID: https://orcid.org/0009-0007-5310-7353)
- Justina Antonela Dragomir
- C Popa
- Elmira Ibraim
- Dragoș Dendrino (ORCID: https://orcid.org/0009-0002-5925-1915)
- Ioana Mădălina Moșteanu
- Raluca Bobocea
- Radu Matache
Institutions
- Titu Maiorescu University (RO)
- Carol Davila University of Medicine and Pharmacy (RO)
- University of Medicine and Pharmacy of Craiova (RO)
- World Health Organization (CH)
- Institutul de Pneumoftiziologie "Marius Nasta" (RO)
- Bucharest University of Economic Studies (RO)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-02-07
- DOI
- https://doi.org/10.3389/fpubh.2025.1433450
- Citations
- 4
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 5.44
Funders
- World Health Organization