Evidence map›Paper›PMID 40567354›Full record

ArticleBiology methods & protocols2025

Enhancing leptospirosis screening using a deep convolutional neural network with microscopic agglutination test images.

Murnihayati Hassan, Siti Nur Zawani Rosli, Natasya Amirah Mohamed Tahir, Nurul Azmawati Mohamed, Khairunnisa Mohd Sukri, Liyana Azmi, Norhasmira Mohammad

Abstract read
In one paragraph

Article in Biology methods & protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Murnihayati HassanBacteriology Unit, Institute for Medical Research (IMR), National Institutes of Health (NIH), Ministry of Health (MOH), 40170 Setia Alam, Shah Alam, Selangor, Malaysia.ORCID https://orcid.org/0000-0002-2415-961X
Siti Nur Zawani RosliBacteriology Unit, Institute for Medical Research (IMR), National Institutes of Health (NIH), Ministry of Health (MOH), 40170 Setia Alam, Shah Alam, Selangor, Malaysia.
Natasya Amirah Mohamed TahirBacteriology Unit, Institute for Medical Research (IMR), National Institutes of Health (NIH), Ministry of Health (MOH), 40170 Setia Alam, Shah Alam, Selangor, Malaysia.
Nurul Azmawati MohamedFaculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, Bandar Baru Nilai, 71800, Nilai, Negeri Sembilan, Malaysia.
Khairunnisa Mohd SukriFaculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, Bandar Baru Nilai, 71800, Nilai, Negeri Sembilan, Malaysia.
Liyana AzmiFaculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, Bandar Baru Nilai, 71800, Nilai, Negeri Sembilan, Malaysia.ORCID https://orcid.org/0000-0002-7149-8016
Norhasmira MohammadFaculty of Cognitive Sciences & Human Development, Universiti Malaysia Sarawak, Jalan Datuk Mohammad Musa, 94300, Kota Samarahan, Sarawak, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leptospirosis poses substantial challenges to global public health. In Malaysia, leptospirosis is endemic, with annual cases peaking during the monsoon season. The microscopic agglutination test (MAT) is the gold-standard serological method for confirmation of leptospirosis. However, it is labor-intensive and time-consuming, as it relies on the subjective interpretation of medical lab technicians. This study describes the development of a semiautomated workflow for

Indexed as

classificationdeep convolutional neural networkleptospirosismicroscopic agglutination testTensorFlow

Identifiers

PMID40567354
PMCPMC12188207

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.