ReviewAttention, perception & psychophysics2010
Current perspectives in medical image perception.
Review in Attention, perception & psychophysics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 2 of them syntheses 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
106 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Use of large language models for providing automated feedback in medical imaging education: a systematic review.Frontiers in medicine · 2026Pooled it
- How visual search relates to visual diagnostic performance: a narrative systematic review of eye-tracking research in radiology.Advances in health sciences education : theory and practice · 2017Pooled it
- Sustained effect of simulation-based ultrasound training on clinical performance: a randomized trial.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2015Trial
- A mathematical framework for pre-mass detection of renal tissue anomalies from computed tomography scans: exploration of a biomechanical signature based on enhancement kinetics.Quantitative imaging in medicine and surgery · 2026Article
- Screening efficiency over experience: Rapid target detection in low-power field as a modifiable cognitive biomarker for diagnostic accuracy in digital cytology.Cancer cytopathology · 2026Article
- Microsaccade Dynamics Enhance Nodule Detection and Discriminate Reader Expertise Levels During Chest Radiography.Research square · 2026Article
- Identifying an X-Ray Threshold for Cage Subsidence After Single-Level Minimally Invasive Transforaminal Lumbar Interbody Fusion: A Diagnostic Threshold Study Using Intraoperative CT as the Reference Standard.Journal of clinical medicine · 2026Article
- Relating the perceived useful field of view to visual search in 2D Images and 3D volumetric images.Attention, perception & psychophysics · 2026Article
- Assessing the Role of Artificial Intelligence in Caries Detection and Clinical Decision-Making: A Scoping Review.Caries research · 2026Review
- Design, implementation, and evaluation of IIIDDS: a structured WhatsApp case-discussion curriculum in undergraduate radiology education.Frontiers in medicine · 2026Article
- AI-assisted versus traditional radiographic interpretation for early caries detection.Bioinformation · 2026Article
- Reading and skimming clinical information: insights from experiments examining medical students' eye movement behaviour.BMC medical education · 2025Article
- Identification and evaluation of radiographic interpretation errors among undergraduate dental students.Medical education online · 2025Article
- Consistent performance between medical experts and non-expert readers in forced-choice lesion-detection tasks with PET images.Medical physics · 2025Article
- Clinical validation of a deep learning tool for characterizing spinopelvic mobility in total hip arthroplasty.Scientific reports · 2025Article
- Artificial Intelligence in the Diagnosis and Imaging-Based Assessment of Pelvic Organ Prolapse: A Scoping Review.Medicina (Kaunas, Lithuania) · 2025Article
- Improving lesion detection skills in medical imaging education through enhanced peripheral visual perception.Scientific reports · 2025Article
- Correlating Patient Symptoms and CT Morphology in AI-Detected Incidental Pulmonary Embolisms.Diagnostics (Basel, Switzerland) · 2025Article
- A Systematic Review of AI Performance in Lung Cancer Detection on CT Thorax.Healthcare (Basel, Switzerland) · 2025Review
- Assessing Rapid Visual Perception in Medical Students Trained in Ultrasound.Medical science educator · 2025Article
46 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Medical images constitute a core portion of the information a physician utilizes to render diagnostic and treatment decisions. At a fundamental level, this diagnostic process involves two basic processes: visually inspecting the image (visual perception) and rendering an interpretation (cognition). The likelihood of error in the interpretation of medical images is, unfortunately, not negligible. Errors do occur, and patients' lives are impacted, underscoring our need to understand how physicians interact with the information in an image during the interpretation process. With improved understanding, we can develop ways to further improve decision making and, thus, to improve patient care. The science of medical image perception is dedicated to understanding and improving the clinical interpretation process.
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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.