ReviewTheranostics2019
Current status and future trends of clinical diagnoses via image-based deep learning.
Review in Theranostics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 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
40 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.
- Performance of artificial intelligence in diabetic retinopathy screening: a systematic review and meta-analysis of prospective studies.Frontiers in endocrinology · 2023Pooled it
- Development and validation of MRI-based deep learning models for prediction of microsatellite instability in rectal cancer.Cancer medicine · 2021Trial
- Ultrasound detection of nonalcoholic steatohepatitis using convolutional neural networks with dual-branch global-local feature fusion architecture.Medical & biological engineering & computing · 2026Article
- AI-Enhanced Quantitative IHC Analysis for Prognostic Stratification in Marginal Zone Lymphoma: Development of a Revised MZL-IPI Model.Diagnostics (Basel, Switzerland) · 2026Article
- A deep learning model for the diagnosis of gastric neuroendocrine carcinoma.Communications medicine · 2026Article
- MACNeXt-Based Bacteria Species Detection.Microorganisms · 2025Article
- MMsurv: a multimodal multi-instance multi-cancer survival prediction model integrating pathological images, clinical information, and sequencing data.Briefings in bioinformatics · 2025Article
- Internal validation of a convolutional neural network pipeline for assessing meibomian gland structure from meibography.Optometry and vision science : official publication of the American Academy of Optometry · 2025Article
- A panoramic perspective: application prospects and outlook of multimodal artificial intelligence in the management of diabetic retinopathy.Frontiers in public health · 2025Review
- Revolutionizing Women's Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology.Journal of clinical medicine · 2024Review
- AI-integrated ocular imaging for predicting cardiovascular disease: advancements and future outlook.Eye (London, England) · 2024Review
- Artificial Intelligence Applications in Lymphoma Diagnosis and Management: Opportunities, Challenges, and Future Directions.Journal of multidisciplinary healthcare · 2024Review
- Deep learning for MRI lesion segmentation in rectal cancer.Frontiers in medicine · 2024Review
- Development of a whole-slide-level segmentation-based dMMR/pMMR deep learning detector for colorectal cancer.iScience · 2023Article
- Democratizing Artificial Intelligence Imaging Analysis With Automated Machine Learning: Tutorial.Journal of medical Internet research · 2023Article
- Diagnosing Systemic Disorders with AI Algorithms Based on Ocular Images.Healthcare (Basel, Switzerland) · 2023Review
- Predicting colorectal cancer microsatellite instability with a self-attention-enabled convolutional neural network.Cell reports. Medicine · 2023Article
- Retinal Glaucoma Public Datasets: What Do We Have and What Is Missing?Journal of clinical medicine · 2022Article
- Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural Network.Applied soft computing · 2022Article
- EDNC: Ensemble Deep Neural Network for COVID-19 Recognition.Tomography (Ann Arbor, Mich.) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the recent developments in deep learning technologies, artificial intelligence (AI) has gradually been transformed from cutting-edge technology into practical applications. AI plays an important role in disease diagnosis and treatment, health management, drug research and development, and precision medicine. Interdisciplinary collaborations will be crucial to develop new AI algorithms for medical applications. In this paper, we review the basic workflow for building an AI model, identify publicly available databases of ocular fundus images, and summarize over 60 papers contributing to the field of AI development.
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.