On the public citation graph

Diagnostic Performance of Artificial Intelligence for Facial Fracture Detection: A Systematic Review

https://doi.org/10.2139/ssrn.5381775
0 signed · 59 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00256-021-03709-8openalex-snapshot
A fully automated rib fracture detection system on chest CT images and its impact on radiologist performance
inferredcites →https://doi.org/10.1007/s00784-022-04427-8openalex-snapshot
Detection and classification of mandibular fracture on CT scan using deep convolutional neural network
inferredcites →https://doi.org/10.1007/s10278-023-00829-6openalex-snapshot
Artificial Intelligence Model Trained with Sparse Data to Detect Facial and Cranial Bone Fractures from Head CT
inferredcites →https://doi.org/10.1007/s10278-024-01144-4openalex-snapshot
Deep Learning Model for Automatic Identification and Classification of Distal Radius Fracture
inferredcites →https://doi.org/10.1007/s10462-025-11296-6openalex-snapshot
A comprehensive review of AI methods in upper extremity/limb bone fracture detection
inferredcites →https://doi.org/10.1007/s44163-024-00114-7openalex-snapshot
Explainable and interpretable artificial intelligence in medicine: a systematic bibliometric review
inferredcites →https://doi.org/10.1016/j.bjoms.2020.04.005openalex-snapshot
Combining trauma severity indices to create a unified craniofacial disruption index: addition of the frontobasal unit to the ZS model
inferredcites →https://doi.org/10.1016/j.bspc.2025.108302openalex-snapshot
Bone fracture detection and classification using node-level capsule graph neural network with X-ray images of broken and unbroken bones
inferredcites →https://doi.org/10.1016/j.chaos.2020.110190openalex-snapshot
A deep learning and grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan images
inferredcites →https://doi.org/10.1016/j.cmpb.2019.02.006openalex-snapshot
Deep learning and SURF for automated classification and detection of calcaneus fractures in CT images
inferredcites →https://doi.org/10.1016/j.compbiomed.2023.106859openalex-snapshot
Improving drug response prediction based on two-space graph convolution
inferredcites →https://doi.org/10.1016/j.compbiomed.2024.109044openalex-snapshot
Learning from the few: Fine-grained approach to pediatric wrist pathology recognition on a limited dataset
inferredcites →https://doi.org/10.1016/j.crad.2021.01.002openalex-snapshot
Non-invasive evaluation of the common carotid artery in normal adults using ultrasound radiofrequency data technology
inferredcites →https://doi.org/10.1016/j.identj.2025.02.005openalex-snapshot
The Transformative Role of Artificial Intelligence in Dentistry: A Comprehensive Overview. Part 1: Fundamentals of AI, and its Contemporary Applications in Dentistry
inferredcites →https://doi.org/10.1016/j.identj.2025.02.006openalex-snapshot
The Transformative Role of Artificial Intelligence in Dentistry: A Comprehensive Overview Part 2: The Promise and Perils, and the International Dental Federation Communique
inferredcites →https://doi.org/10.1016/j.ijom.2022.03.056openalex-snapshot
Assessment of deep convolutional neural network models for mandibular fracture detection in panoramic radiographs
inferredcites →https://doi.org/10.1016/j.jacr.2022.02.013openalex-snapshot
ACR Appropriateness Criteria® Imaging of Facial Trauma Following Primary Survey
inferredcites →https://doi.org/10.1016/j.jdent.2023.104451openalex-snapshot
Accuracy of autonomous robotic surgery for single-tooth implant placement: A case series
inferredcites →https://doi.org/10.1016/j.jmbbm.2023.106099openalex-snapshot
Efficacy and bone-contact biocompatibility of glass ionomer cement as a biomaterial for bone regeneration: A systematic review
inferredcites →https://doi.org/10.1016/j.joms.2023.04.013openalex-snapshot
Is Convolutional Neural Network Accurate for Automatic Detection of Zygomatic Fractures on Computed Tomography?
inferredcites →https://doi.org/10.1016/j.jormas.2024.101914openalex-snapshot
Automatic detection of midfacial fractures in facial bone CT images using deep learning-based object detection models
inferredcites →https://doi.org/10.1016/s0140-6736(18)31645-3openalex-snapshot
Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study
inferredcites →https://doi.org/10.1038/s41467-024-51136-9openalex-snapshot
Visual interpretability of image-based classification models by generative latent space disentanglement applied to in vitro fertilization
inferredcites →https://doi.org/10.1038/s41598-022-23445-wopenalex-snapshot
Detection of mandibular fractures on panoramic radiographs using deep learning
inferredcites →https://doi.org/10.1038/s41598-022-23863-wopenalex-snapshot
Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis
inferredcites →https://doi.org/10.1038/s41598-022-26161-7openalex-snapshot
Diagnosis of nasal bone fractures on plain radiographs via convolutional neural networks
inferredcites →https://doi.org/10.1038/s41598-024-63093-wopenalex-snapshot
Deep-learning-based pelvic automatic segmentation in pelvic fractures
inferredcites →https://doi.org/10.1038/s41598-025-98852-wopenalex-snapshot
An automated hip fracture detection, classification system on pelvic radiographs and comparison with 35 clinicians
inferredcites →https://doi.org/10.1049/cit2.12072openalex-snapshot
An attention‐based cascade R‐CNN model for sternum fracture detection in X‐ray images
inferredcites →https://doi.org/10.1093/bjr/tqae014openalex-snapshot
Deep learning for acute rib fracture detection in CT data: a systematic review and meta-analysis
inferredcites →https://doi.org/10.1093/dmfr/twae018openalex-snapshot
Detection and classification of mandibular fractures in panoramic radiography using artificial intelligence
inferredcites →https://doi.org/10.1093/dmfr/twaf028openalex-snapshot
Application of deep learning for detection of nasal bone fracture on X-ray nasal bone lateral view
inferredcites →https://doi.org/10.1097/corr.0000000000002385openalex-snapshot
Deep Learning Assistance Closes the Accuracy Gap in Fracture Detection Across Clinician Types
inferredcites →https://doi.org/10.1097/scs.0000000000009856openalex-snapshot
Development of AI-Based Diagnostic Algorithm for Nasal Bone Fracture Using Deep Learning
inferredcites →https://doi.org/10.1109/access.2022.3192389openalex-snapshot
Computer Aided Facial Bone Fracture Diagnosis (CA-FBFD) System Based on Object Detection Model
inferredcites →https://doi.org/10.1109/cai64502.2025.00082openalex-snapshot
Performance Analysis of Deep Learning Models for Femur Segmentation in MRI Scan
inferredcites →https://doi.org/10.1109/icip51287.2024.10648070openalex-snapshot
Navigating Limitations With Precision: A Fine-Grained Ensemble Approach To Wrist Pathology Recognition On A Limited X-Ray Dataset
inferredcites →https://doi.org/10.1148/ryai.2021200260openalex-snapshot
Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs
inferredcites →https://doi.org/10.1155/2022/5863782openalex-snapshot
Object Detection in Medical Images Based on Hierarchical Transformer and Mask Mechanism
inferredcites →https://doi.org/10.1177/00220345241256618openalex-snapshot
Detecting Mandible Fractures in CBCT Scans Using a 3-Stage Neural Network
inferredcites →https://doi.org/10.1186/s13244-025-01958-yopenalex-snapshot
Classification and segmentation of hip fractures in x-rays: highlighting fracture regions for interpretable diagnosis
inferredcites →https://doi.org/10.1259/dmfr.20200611openalex-snapshot
Performance of deep learning models constructed using panoramic radiographs from two hospitals to diagnose fractures of the mandibular condyle
inferredcites →https://doi.org/10.15441/ceem.20.091openalex-snapshot
Application of convolutional neural networks for distal radio-ulnar fracture detection on plain radiographs in the emergency room
inferredcites →https://doi.org/10.21015/vtse.v12i4.1971openalex-snapshot
Deep Learning-Based Image Segmentation Techniques for Bone Fractures Using X-Ray Images: A Systematic Review
inferredcites →https://doi.org/10.3233/shti231262openalex-snapshot
Deep Learning for Midfacial Fracture Detection in CT Images
inferredcites →https://doi.org/10.3233/thc-220501openalex-snapshot
Assessment of artificial intelligence-aided reading in the detection of nasal bone fractures
inferredcites →https://doi.org/10.3389/fmed.2023.1224489openalex-snapshot
Deep learning assisted diagnosis system: improving the diagnostic accuracy of distal radius fractures
inferredcites →https://doi.org/10.3389/fmed.2024.1506686openalex-snapshot
Diagnosis and detection of bone fracture in radiographic images using deep learning approaches
inferredcites →https://doi.org/10.3389/fneur.2021.687931openalex-snapshot
Automated Identification of Skull Fractures With Deep Learning: A Comparison Between Object Detection and Segmentation Approach
inferredcites →https://doi.org/10.3389/frai.2023.1278529openalex-snapshot
A review on artificial intelligence for the diagnosis of fractures in facial trauma imaging
inferredcites →https://doi.org/10.3390/brainsci13121723openalex-snapshot
Limitations in Evaluating Machine Learning Models for Imbalanced Binary Outcome Classification in Spine Surgery: A Systematic Review
inferredcites →https://doi.org/10.3390/diagnostics11060933openalex-snapshot
Automatic Detection of Mandibular Fractures in Panoramic Radiographs Using Deep Learning
inferredcites →https://doi.org/10.3390/diagnostics13091639openalex-snapshot
Classification of Monkeypox Images Using LIME-Enabled Investigation of Deep Convolutional Neural Network
inferredcites →https://doi.org/10.3390/diagnostics13182927openalex-snapshot
Enhancing X-ray-Based Wrist Fracture Diagnosis Using HyperColumn-Convolutional Block Attention Module
inferredcites →https://doi.org/10.3390/electronics14050876openalex-snapshot
A Comparative Study of YOLO Series (v3–v10) with DeepSORT and StrongSORT: A Real-Time Tracking Performance Study
inferredcites →https://doi.org/10.3390/life12111711openalex-snapshot
Combined Deep Learning Techniques for Mandibular Fracture Diagnosis Assistance
inferredcites →https://doi.org/10.3390/s22020506openalex-snapshot
A Study on 3D Deep Learning-Based Automatic Diagnosis of Nasal Fractures
inferredcites →https://doi.org/10.4103/1735-3327.369629openalex-snapshot
The application of artificial neural networks in the detection of mandibular fractures using panoramic radiography
inferredcites →https://doi.org/10.7326/0003-4819-155-8-201110180-00009openalex-snapshot
QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.