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This paper is in the following e-collection/theme issue:

Digital Health Reviews (3833) Clinical Information and Decision Making (3883) Machine Learning (3329) New Technologies (168) Registered Report (1577) Computer-Aided Diagnosis (440)

Published on in Vol 28 (2026)

This is a member publication of Bibsam Consortium

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78500, first published .
Hands insert sample into AI-powered diagnostic device, tablet displays "AI

AI-Supported Digital Microscopy Diagnostics in Primary Health Care Laboratories: Scoping Review

AI-Supported Digital Microscopy Diagnostics in Primary Health Care Laboratories: Scoping Review

Authors of this article:

Joar von Bahr1, 2, 3 Author Orcid Image ;   Antti Suutala3 Author Orcid Image ;   Vinod Diwan1 Author Orcid Image ;   Andreas Mårtensson2, 4 Author Orcid Image ;   Johan Lundin1, 3 Author Orcid Image ;   Nina Linder2, 3 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

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  2. Feng J, Ai L, Chen M, Wu H. Integrating Microfluidics Chips into Vector-Borne Disease Surveillance: Technological Breakthroughs and Persistent Hurdles. Vector-Borne and Zoonotic Diseases 2026 View
  3. González J, Zambrano S, Montoya K, González V, San Francisco J, Gutiérrez B, Gutiérrez C, Ahumada I, Vega J. Artificial intelligence in human parasitic gastrointestinal infections: a systematic review closing the protozoan gap. Parasitology 2026:1 View