ArticleNature communications2024
Rapid deep learning-assisted predictive diagnostics for point-of-care testing.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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
33 citing papers in PubMed, 92 citations in OpenAlex.
- Transport-Reaction-Signal Coupling in Lateral Flow Assays for Next-Generation Point-of-Care Diagnostics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Evolution of Next-Generation Multiplex Lateral Flow Immunoassays: From Engineered Nanomaterials to AI-Driven Detection.Biosensors · 2026Review
- Improving the Precision of Etiological Diagnosis in Bacterial Infections Using Molecular Technologies: A Comparative Analysis of Platforms, AI Integration, and Point-of-Care Deployment.International journal of molecular sciences · 2026Review
- AI-driven lateral flow immunoassay for point-of-care detection of cardiac biomarkers in acute myocardial infarction.Mikrochimica acta · 2026Article
- In situ electrochemiluminescence microneedle device for real-time biomarker monitoring in vivo.Nature communications · 2026Article
- Recognition, Signal Transduction, and Amplification of Nucleic Acids Under Isothermal Condition.Advanced genetics (Hoboken, N.J.) · 2026Article
- FePlants (Basel, Switzerland) · 2026Article
- From Drops to Decisions: AI/ML-Driven Biofluidics for Clinical Diagnostics and Healthcare Intelligence.Analytical chemistry · 2026Review
- Emerging Trends in Artificial Intelligence-Assisted Colorimetric Biosensors for Pathogen Diagnostics.Sensors (Basel, Switzerland) · 2026Review
- Smartphone-based video deep learning enables rapid and accurate lateral flow diagnostics.Mikrochimica acta · 2025Article
- Computational Framework for High Copy-Number Probe Selection and Cross-Binding Reduction.Analytical science advances · 2025Article
- Point of Care Testing, Rapid Next Generation Sequencing and Artificial Intelligence in Pediatric and Neonatal Healthcare: A Narrative Review.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Intelligent molecular logic computing toolkits: nucleic acid-based construction, functionality, and enhanced biosensing applications.Chemical science · 2025Review
- Artificial Intelligence in Infectious Disease Diagnostic Technologies.Diagnostics (Basel, Switzerland) · 2025Review
- Integration of Point-of-Care Technology in the Decoding Process of Single Nucleotide Polymorphism for Healthcare ApplicationMicromachines · 2025Review
- Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data.ACS sensors · 2025Article
- AI-Powered Embedded System for Rapid Detection of Veterinary Antibiotic Residues in Food-Producing Animals.Antibiotics (Basel, Switzerland) · 2025Article
- Enhancing Sensitivity of Commercial Gold Nanoparticle-Based Lateral Flow Assays: A Comparative Study of Colorimetric and Photothermal Approaches.Sensors (Basel, Switzerland) · 2025Article
- Socioeconomic impact of artificial intelligence-driven point-of-care testing devices for liquid biopsy in the OncoCheck system.Cancer metastasis reviews · 2025Review
- Optimizing drone-based pollination method by using efficient target detection and path planning for complex durian orchards.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prominent techniques such as real-time polymerase chain reaction (RT-PCR), enzyme-linked immunosorbent assay (ELISA), and rapid kits are currently being explored to both enhance sensitivity and reduce assay time for diagnostic tests. Existing commercial molecular methods typically take several hours, while immunoassays can range from several hours to tens of minutes. Rapid diagnostics are crucial in Point-of-Care Testing (POCT). We propose an approach that integrates a time-series deep learning architecture and AI-based verification, for the enhanced result analysis of lateral flow assays. This approach is applicable to both infectious diseases and non-infectious biomarkers. In blind tests using clinical samples, our method achieved diagnostic times as short as 2 minutes, exceeding the accuracy of human analysis at 15 minutes. Furthermore, our technique significantly reduces assay time to just 1-2 minutes in the POCT setting. This advancement has the potential to greatly enhance POCT diagnostics, enabling both healthcare professionals and non-experts to make rapid, accurate decisions.
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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.