External validation of a deep learning model for predicting bone mineral density on chest radiographs

T Asamoto, Y Takegami, Y Sato, S Takahara… - Archives of …, 2024 - Springer
… In particular, external validation (EV) is essential before deploying a predictive model in a
clinical setting, as it ensures that the model effectively functions in environments beyond the …

Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays

PS Gidde, SS Prasad, AP Singh, N Bhatheja… - Scientific Reports, 2021 - nature.com
… The performance and explainability of CovBaseAI was primarily validated on two independent
datasets. Firstly, 1401 randomly selected CxR from an Indian quarantine center to assess …

Performance of a chest radiography AI algorithm for detection of missed or mislabeled findings: A multicenter study

P Kaviani, SR Digumarthy, BC Bizzo, B Reddy… - Diagnostics, 2022 - mdpi.com
… We used the following keywords for search criteria: chest radiograph and … validated on a
separate dataset of over 93,000 CXRs from multiple sites in India. Neither training nor validation

Creation and validation of a chest X-ray dataset with eye-tracking and report dictation for AI development

A Karargyris, S Kashyap, I Lourentzou, JT Wu… - Scientific data, 2021 - nature.com
… (ie, when the model is deployed to infer the class labels for … that capture eye gaze data in
the chest X-Ray (CXR) space, … radiologist interpreting frontal chest radiographs. Dictation data (…

Deep learning at chest radiography: automated classification of pulmonary tuberculosis by using convolutional neural networks

P Lakhani, B Sundaram - Radiology, 2017 - pubs.rsna.org
… into training, validation, and tests. This included images from many sites, with chest radiographs
generated by both digital radiographic and computed radiographic technologies, which …

Predicting patient demographics from chest radiographs with deep learning

J Adleberg, A Wardeh, FX Doo, B Marinelli… - Journal of the American …, 2022 - Elsevier
… Fifty chest radiographs were used in the external validation … , 100, and 150 radiographs were
used in the validation of self-… in various AI algorithms before deployment in clinical practice. …

Development and prospective validation of COVID-19 chest X-ray screening model for patients attending emergency departments

I Drozdov, B Szubert, E Reda, P Makary, D Forbes… - Scientific reports, 2021 - nature.com
… Most patients with dyspnoea undergo chest radiography (CXR) … For example, no single
feature on chest radiography is … the health board network and deployed in NHS GG&C through …

Machine learning model for chest radiographs: Using local data to enhance performance

SF Mohn, M Law, M Koleva, B Lee… - Canadian …, 2023 - journals.sagepub.com
… Both datasets consisted of chest radiographs with labels … of 136,676 cases, with a train/validation/test
split of 80/10/10. … epochs without improvement of validation loss. The resulting …

[HTML][HTML] Artificial intelligence-based identification of normal chest radiographs: a simulation study in a multicenter health screening cohort

H Yoo, EY Kim, H Kim, YR Choi, MY Kim… - Korean Journal of …, 2022 - ncbi.nlm.nih.gov
Chest radiography (CXR) is one of the most common radiological examinations. CXR images
are obtained during the … Further prospective trials are required to validate our findings. …

Observer performance evaluation of the feasibility of a deep learning model to detect cardiomegaly on chest radiographs

P Ajmera, A Kharat, T Gupte, R Pant… - Acta Radiologica …, 2022 - journals.sagepub.com
validation on the institutional dataset. Figure 1 is a representation of the steps involved in
processing of a chest radiograph … It is this prospective deployment in clinical setting which will …