ArticleTheranostics2019
Point-of-care cervical cancer screening using deep learning-based microholography.
Article in Theranostics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- A systematic review on deep learning-based automated cancer diagnosis models.Journal of cellular and molecular medicine · 2024Pooled it
- Global trends and insights in cervical cancer research: a bibliometric analysis from 2000 to 2024.Reproduction & fertility · 2026Article
- Integrated Multi-Channel Automatic Cellular Profiling (iMAP) System for Cholangiocarcinoma Diagnosis.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Hydrogel-based multiplexed high-risk human papillomavirus DNA/RNA detection for cervical cancer screening.Biosensors & bioelectronics: X · 2025Article
- A novel approach for estimating postmortem intervals under varying temperature conditions using pathology images and artificial intelligence models.International journal of legal medicine · 2025Article
- Machine and Deep Learning for the Diagnosis, Prognosis, and Treatment of Cervical Cancer: A Scoping Review.Diagnostics (Basel, Switzerland) · 2025Review
- Emerging Trends in Point-of-Care Technology Development for Oncology in Low- and Middle-Income Countries.JCO global oncology · 2025Review
- Review
- Advances in human papillomavirus detection for cervical cancer screening and diagnosis: challenges of conventional methods and opportunities for emergent tools.Analytical methods : advancing methods and applications · 2025Review
- A Review on the Applications of Artificial Intelligence for Diagnosing and Treating Cervical Cancer.International journal of women's health · 2025Review
- Empowering the on-site detection of nucleic acids by integrating CRISPR and digital signal processing.Nature communications · 2024Article
- Artificial intelligence and visual inspection in cervical cancer screening.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2023Article
- Engineering Innovative Interfaces for Point-of-Care Diagnostics.Current opinion in colloid & interface science · 2023Review
- Deep learning-based important weights-only transfer learning approach for COVID-19 CT-scan classification.Applied intelligence (Dordrecht, Netherlands) · 2023Article
- A comprehensive review for machine learning based human papillomavirus detection in forensic identification with multiple medical samples.Frontiers in microbiology · 2023Review
- Advancement in Deep Learning Methods for Diagnosis and Prognosis of Cervical Cancer.Current genomics · 2022Review
- Artificial Intelligence in Cervical Cancer Screening and Diagnosis.Frontiers in oncology · 2022Review
- Addressing cervical cancer screening disparities through advances in artificial intelligence and nanotechnologies for cellular profiling.Biophysics reviews · 2021Review
- Development and interpretation of a pathomics-based model for the prediction of microsatellite instability in Colorectal Cancer.Theranostics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 4 institutions in 1 country.
Funding
Abstract
Most deaths (80%) from cervical cancer occur in regions lacking adequate screening infrastructures or ready access to them. In contrast, most developed countries now embrace human papillomavirus (HPV) analyses as standalone screening; this transition threatens to further widen the resource gap.
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.