ReviewRadiological physics and technology2021
New solutions for automated image recognition and identification: challenges to radiologic technology and forensic pathology.
Review in Radiological physics and technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed.
- Multi-View Elliptic Fourier Analysis of the Sternum for Automated Postmortem-to-Antemortem Computed Tomography Candidate Ranking.Journal of imaging informatics in medicine · 2026Article
- Radiomic Fingerprints: Automated Personal Identification in Mass Disasters Using Shape-Based Features of Thoracic Vertebral Bodies on CT.Journal of imaging informatics in medicine · 2026Article
- Channel and Spatial Attention in Chest X-Ray Radiographs: Advancing Person Identification and Verification with Self-Residual Attention Network.Diagnostics (Basel, Switzerland) · 2024Article
- Sex estimation using skull silhouette images from postmortem computed tomography by deep learning.Scientific reports · 2024Article
- Gray-Scale Extraction of Bone Features from Chest Radiographs Based on Deep Learning Technique for Personal Identification and Classification in Forensic Medicine.Diagnostics (Basel, Switzerland) · 2024Article
- Patient Identification Based on Deep Metric Learning for Preventing Human Errors in Follow-up X-Ray Examinations.Journal of digital imaging · 2023Article
- Biological fingerprint for patient verification using trunk scout views at various scan ranges in computed tomography.Radiological physics and technology · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
This paper outlines the history of biometrics for personal identification, the current status of the initial biological fingerprint techniques for digital chest radiography, and patient verification during medical imaging, such as computed tomography and magnetic resonance imaging. Automated image recognition and identification developed for clinical images without metadata could also be applied to the identification of victims in mass disasters or other unidentified individuals. The development of methods that are adaptive to a wide range of recent imaging modalities in the fields of radiologic technology, patient safety, forensic pathology, and forensic odontology is still in its early stages. However, its importance in practice will continue to increase in the future.
Indexed as
Identifiers
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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.