Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Rapid Identification of Pathogens

Rapid Identification of Pathogens

MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Navigating HIV status disclosure: Adolescents' privacy management strategies in Rural South Africa.

Global public health·2026

Same author

Real-World Data on the Use of Intravenous Fosfomycin for the Treatment of Central Nervous System Infections: a Subgroup Analysis from the FORTRESS Study.

Infectious diseases and therapy·2026

Same author

Community-based health screening and all-cause mortality in rural South Africa: a longitudinal cohort study.

BMJ public health·2026

Same author

Tongue swab-based Targeted Universal Tuberculosis Testing in people living with HIV in KwaZulu-Natal, South Africa.

medRxiv : the preprint server for health sciences·2026

Same author

Long-acting HIV pre-exposure prophylaxis integrated with community-based sexual and reproductive health services in South Africa (LAPIS): study protocol for a hybrid (1a) cluster randomised controlled phase 3B trial of effectiveness and implementation.

BMC public health·2026

Same author

Understanding the mental health of adolescents and young adults in rural South Africa through participatory research.

PLOS global public health·2025

Search research articles

Related Experiment Video

Updated: Jun 9, 2026

Filtration Isolation of Nucleic Acids: A Simple and Rapid DNA Extraction Method

Filtration Isolation of Nucleic Acids: A Simple and Rapid DNA Extraction Method

Published on: August 6, 2016

Deep learning of HIV field-based rapid tests.

Valérian Turbé¹, Carina Herbst², Thobeka Mngomezulu²

¹London Centre for Nanotechnology, University College London, London, UK. v.turbe@ucl.ac.uk.

Nature Medicine

|June 18, 2021

Summary

Deep learning accurately classified rapid human immunodeficiency virus (HIV) tests from field images in South Africa. This AI approach offers a sensitive and specific diagnostic tool for low-resource settings.

More Related Videos

Field Postmortem Rabies Rapid Immunochromatographic Diagnostic Test for Resource-Limited Settings with Further Molecular Applications

Field Postmortem Rabies Rapid Immunochromatographic Diagnostic Test for Resource-Limited Settings with Further Molecular Applications

Published on: June 29, 2020

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

Related Experiment Videos

Last Updated: Jun 9, 2026

Filtration Isolation of Nucleic Acids: A Simple and Rapid DNA Extraction Method

Filtration Isolation of Nucleic Acids: A Simple and Rapid DNA Extraction Method

Published on: August 6, 2016

Field Postmortem Rabies Rapid Immunochromatographic Diagnostic Test for Resource-Limited Settings with Further Molecular Applications

Field Postmortem Rabies Rapid Immunochromatographic Diagnostic Test for Resource-Limited Settings with Further Molecular Applications

Published on: June 29, 2020

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

Area of Science:

Artificial Intelligence
Medical Diagnostics
Public Health

Background:

Deep learning shows promise for disease diagnosis but requires field validation for rapid tests.
Rapid diagnostic tests (RDTs) are crucial in low-resource settings, but interpretation can be subjective.
Human immunodeficiency virus (HIV) diagnosis in rural areas faces challenges with accessibility and accuracy.

Purpose of the Study:

To evaluate the efficacy of deep learning algorithms in classifying images of rapid HIV tests.
To assess the performance of AI-driven diagnostics compared to human interpretation in a field setting.
To explore the potential of deep learning for developing REASSURED diagnostics in low- and middle-income countries.

Main Methods:

Trained deep learning algorithms on 11,374 images of HIV lateral flow tests collected by fieldworkers in rural South Africa using a tablet.
Deployed the trained algorithms as a mobile application for pilot field testing.
Compared AI classification results with visual interpretation by experienced nurses and community health workers.

Main Results:

The deep learning algorithms achieved high sensitivity (97.8%) and perfect specificity (100%) in classifying HIV tests.
AI interpretation significantly reduced false positives and false negatives compared to human interpretation.
The mobile application demonstrated feasibility for routine use by fieldworkers.

Conclusions:

Deep learning-based image classification offers a highly accurate and reliable method for interpreting rapid HIV tests in the field.
This technology forms the basis for REASSURED diagnostics, enhancing healthcare delivery in low- and middle-income countries.
AI-powered diagnostics can improve workforce training, quality assurance, and disease control strategies.