ReviewCognitive research: principles and implications2019
What do we know about volumetric medical image interpretation?: a review of the basic science and medical image perception literatures.
Review in Cognitive research: principles and implications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis 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.
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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
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Immersive Virtual Reality for Patient-Specific Preoperative Planning: A Systematic Review.Surgical innovation · 2023Pooled it
- Relating the perceived useful field of view to visual search in 2D Images and 3D volumetric images.Attention, perception & psychophysics · 2026Article
- Artificial Intelligence in Asthma and COPD: Current Status and Future Potential.Journal of clinical medicine · 2026Review
- Global trends and hotspots in AI applications for CT detection of chronic obstructive pulmonary disease: A bibliometric analysis from 2012 to 2024.Lasers in medical science · 2025Review
- From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities.PLOS digital health · 2025Article
- Risky hybrid foraging: The impact of risk, reward value, and prevalence on foraging behavior in hybrid visual search.Journal of experimental psychology. General · 2025Article
- Qualitative studies: designing a multimodal medical visualization tool for helping patients interpret 3D medical images.Frontiers in physiology · 2025Article
- Australian Dentists' Knowledge of the Consequences of Interpretive Errors in Dental Radiographs and Potential Mitigation Measures.Clinical and experimental dental research · 2024Article
- Artificial intelligence in COPD CT images: identification, staging, and quantitation.Respiratory research · 2024Review
- Greater benefits of deep learning-based computer-aided detection systems for finding small signals in 3D volumetric medical images.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- A 2D Synthesized Image Improves the 3D Search for Foveated Visual Systems.IEEE transactions on medical imaging · 2023Article
- Pathologist pupil dilation reflects experience level and difficulty in diagnosing medical images.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Lesion detection in digital breast tomosynthesis: human reader experiments indicate no benefit from the integration of information from multiple planes.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- The Oddity Detection in Diverse Scenes (ODDS) database: Validated real-world scenes for studying anomaly detection.Behavior research methods · 2023Article
- Active visual search in naturalistic environments reflects individual differences in classic visual search performance.Scientific reports · 2023Article
- Superpixel spectral unmixing framework for the volumetric assessment of tissue chromophores: A photoacoustic data-driven approach.Photoacoustics · 2022Article
- The Functional Visual Field(s) in simple visual search.Vision research · 2022Article
- Controllable Medical Image Generation via GAN.Journal of perceptual imaging · 2022Article
- More scanning, but not zooming, is associated with diagnostic accuracy in evaluating digital breast pathology slides.Journal of vision · 2021Article
- Characteristics of expert search behavior in volumetric medical image interpretation.Journal of medical imaging (Bellingham, Wash.) · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Interpretation of volumetric medical images represents a rapidly growing proportion of the workload in radiology. However, relatively little is known about the strategies that best guide search behavior when looking for abnormalities in volumetric images. Although there is extensive literature on two-dimensional medical image perception, it is an open question whether the conclusions drawn from these images can be generalized to volumetric images. Importantly, volumetric images have distinct characteristics (e.g., scrolling through depth, smooth-pursuit eye-movements, motion onset cues, etc.) that should be considered in future research. In this manuscript, we will review the literature on medical image perception and discuss relevant findings from basic science that can be used to generate predictions about expertise in volumetric image interpretation. By better understanding search through volumetric images, we may be able to identify common sources of error, characterize the optimal strategies for searching through depth, or develop new training and assessment techniques for radiology residents.
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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.