ArticleKorean journal of radiology2024
Uncover This Tech Term: Uncertainty Quantification for Deep Learning.
Article in Korean journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic accuracy of radiomics and artificial intelligence models in diagnosing lymph node metastasis in head and neck cancers: a systematic review and meta-analysis.Neuroradiology · 2025Pooled it
- Human-AI interaction and collaboration in radiology: from conceptual frameworks to responsible implementation.Diagnostic and interventional radiology (Ankara, Turkey) · 2026Review
- CONRep: Uncertainty-Aware Vision-Language Report Drafting Using Conformal Prediction.Journal of imaging informatics in medicine · 2026Article
- Clinical Applications, Opportunities, and Implementation Challenges of AI in Emergency Medicine: A Narrative Review.Cureus · 2026Review
- Uncover This Tech Term: Large Vision-Language Models in Radiology.Korean journal of radiology · 2026Article
- Predicting IDH Mutation in Glioma Patients Using Deep Learning Algorithms with Conformal Prediction.Journal of imaging informatics in medicine · 2026Article
- Uncover This Tech Term: Agentic Artificial Intelligence in Radiology.Korean journal of radiology · 2025Article
- A Current Review of Generative AI in Medicine: Core Concepts, Applications, and Current Limitations.Current reviews in musculoskeletal medicine · 2025Review
- Overview of South Korean Guidelines for Approval of Large Language or Multimodal Models as Medical Devices: Key Features and Areas for Improvement.Korean journal of radiology · 2025Article
- Deep Conformal Supervision: Leveraging Intermediate Features for Robust Uncertainty Quantification.Journal of imaging informatics in medicine · 2025Article
- Crucial Role of Understanding in Human-Artificial Intelligence Interaction for Successful Clinical Adoption.Korean journal of radiology · 2025Article
- Caveats in Using Abnormality/Probability Scores from Artificial Intelligence Algorithms: Neither True Probability nor Level of Trustworthiness.Korean journal of radiology · 2024Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.