ReviewThe British journal of radiology2019
Fatigue in radiology: a fertile area for future research.
Review in The British journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.
- Deep learning in pulmonary nodule detection and segmentation: a systematic review.European radiology · 2025Pooled it
- Artificial Intelligence for Hip Fracture Detection and Outcome Prediction: A Systematic Review and Meta-analysis.JAMA network open · 2023Pooled it
- Multicenter evaluation of commercial AI for [Annals of nuclear medicine · 2026Article
- BoneCoT: multicentre validation of a whole-body skeleton foundation model for bone metastases guided by clinician-derived chain of thought.Nature biomedical engineering · 2026Article
- DJournal of imaging · 2026Article
- Information Extraction from Lumbar Spine MRI Radiology Reports Using GPT4: Accuracy and Benchmarking Against Research-Grade Comprehensive Scoring.Diagnostics (Basel, Switzerland) · 2025Article
- Comparison of radiological interpretation made by veterinary radiologists and state-of-the-art commercial AI software for canine and feline radiographic studies.Frontiers in veterinary science · 2025Article
- A comparative accuracy study of multimodal LLMs, VLM and agent-based framework for pulmonary nodule detection on chest radiographs.Frontiers in digital health · 2025Article
- Article
- Enhancing Radiologist Efficiency with AI: A Multi-Reader Multi-Case Study on Aortic Dissection Detection and Prioritization.Diagnostics (Basel, Switzerland) · 2024Article
- Patient Characteristics Impact Performance of AI Algorithm in Interpreting Negative Screening Digital Breast Tomosynthesis Studies.Radiology · 2024Article
- Multiple Kernel Synthesis of Head CT Using a Task-Based Loss Function.Journal of imaging informatics in medicine · 2024Article
- Is work overload associated with diagnostic errors onEuropean journal of nuclear medicine and molecular imaging · 2024Article
- Designing for sensory adaptation: what you see depends on what you've been looking at - Recommendations, guidelines and standards should reflect this.Policy insights from the behavioral and brain sciences · 2024Article
- Adoption, orchestration, and deployment of artificial intelligence within the National Health Service-facilitators and barriers: an expert roundtable discussion.BJR artificial intelligence · 2024Review
- Evaluation of the impact of a novel denoising algorithm on image quality in dual-energy abdominal CT of obese patients.European radiology · 2023Article
- Visual adaptation to medical images: a comparison of digital mammography and tomosynthesis.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Deep Learning for Fully Automated Radiographic Measurements of the Pelvis and Hip.Diagnostics (Basel, Switzerland) · 2023Article
- Conscientiousness protects visual search performance from the impact of fatigue.Cognitive research: principles and implications · 2022Article
- Artificial Intelligence-Based Detection of Pneumonia in Chest Radiographs.Diagnostics (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Fatigue in radiologists may be responsible for a large number of medical errors. This review describes the latest research on fatigue in radiology. This includes measurement methods, and recent evidence on how fatigue affects accuracy in laboratory test conditions and in clinical practice. The extensive opportunities for future research in the area are explored, including testing interventions to reduce fatigue-related error, and further understanding of which fatigue measures correlate with errors. Finally we explore the possibility of answering these questions using large population-based observational studies and pragmatic integrated randomised controlled trials.
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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.