ReviewJournal of clinical microbiology2018
"Smart Diagnosis" of Parasitic Diseases by Use of Smartphones.
Review in Journal of clinical microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Systematic review of gastrointestinal nematodes of horses from Australia.Parasites & vectors · 2019Pooled it
- NTDscope: A multi-contrast portable microscope for disease diagnosis.PLOS global public health · 2026Article
- Detecting soil-transmitted helminth and Schistosoma mansoni eggs in Kato-Katz stool smear microscopy images: A comprehensive in- and out-of-distribution evaluation of YOLOv7 variants.PLoS neglected tropical diseases · 2025Article
- Diagnosis of soil-transmitted helminth infections with digital mobile microscopy and artificial intelligence in a resource-limited setting.PLoS neglected tropical diseases · 2024Article
- A commentary on the development and use of smartphone imaging devices.Biophysical reviews · 2024Article
- Edge Artificial Intelligence (AI) for real-time automatic quantification of filariasis in mobile microscopy.PLoS neglected tropical diseases · 2024Article
- Recognition of parasitic helminth eggs via a deep learning-based platform.Frontiers in microbiology · 2024Article
- Anthelmintic resistance in soil-transmitted helminths: One-Health considerations.Parasitology research · 2023Review
- AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images.Patterns (New York, N.Y.) · 2023Article
- Two-stage automated diagnosis framework for urogenital schistosomiasis in microscopy images from low-resource settings.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- A review on innovative optical devices for the diagnosis of human soil-transmitted helminthiasis and schistosomiasis: from research and development to commercialization.Parasitology · 2023Review
- A review on low-cost microscopes for Open Science.Microscopy research and technique · 2022Review
- Membrane Technology for Rapid Point-of-Care Diagnostics for Parasitic Neglected Tropical Diseases.Clinical microbiology reviews · 2021Article
- Mobile microscopy and telemedicine platform assisted by deep learning for the quantification of Trichuris trichiura infection.PLoS neglected tropical diseases · 2021Article
- The Kubic FLOTAC microscope (KFM): a new compact digital microscope for helminth egg counts.Parasitology · 2021Article
- Systematic Review of Ticks and Tick-Borne Pathogens of Small Ruminants in Pakistan.Pathogens (Basel, Switzerland) · 2020Review
- A smartphone microscopic method for simultaneous detection of (oo)cysts of Cryptosporidium and Giardia.PLoS neglected tropical diseases · 2020Article
- Lab-on-a-Chip Technologies for the Single Cell Level: Separation, Analysis, and Diagnostics.Micromachines · 2020Review
- A colorimetric strategy based on dynamic chemistry for direct detection of Trypanosomatid species.Scientific reports · 2019Article
- Comparison of McMaster and FECPAKParasites & vectors · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate and rapid diagnosis is crucial in combating parasitic diseases that cause millions of deaths worldwide. However, the scarcity of specialized diagnostic equipment in low- and middle-income countries is one of the barriers to effective management of parasitic diseases and warrants the need for alternative, inexpensive, point-of-care diagnostic tools. Due to their multiple built-in sensors, smartphones offer cost-effective alternative to expensive diagnostic devices. However, the use of smartphones in parasitic diagnoses remains in its infancy. This minireview describes various smartphone-based devices applied specifically for the diagnosis of parasitic diseases and discusses challenges and potential implications for their use in future.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.