Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs

A Pyrros, SM Borstelmann, R Mantravadi… - Nature …, 2023 - nature.com
validation techniques (the retrospective internal validation dataset). We next externally validated
… environment, and because the DL model would be deployed on all adult CXRs, controls …

Methods for the Clinical Deployment of Machine Learning Algorithms

YJF Kwon - 2021 - search.proquest.com
… that first used only initial chest radiographs (CXRs) from an … We validated the algorithm with
higher resolution images and … Future work with expert radiologists will validate the utility of …

Padchest: A large chest x-ray image dataset with multi-label annotated reports

A Bustos, A Pertusa, JM Salinas… - Medical image …, 2020 - Elsevier
Chest radiographs) which is, to the best of our knowledge, one of the largest and most
exhaustively labeled public chest x-… to reduce the variability in validation metrics, we experimented …

Deploying Deep Transfer Learning Models to a Web-App for Sars-Cov-2 Detection Using Chest Radiography Images

AK Mahapatra, RS Oza… - 2021 5th International …, 2021 - ieeexplore.ieee.org
… This work aims to build and deploy deep Convolutional Neural Networks(CNN) image …
The approach has still not been subjected to medical validation; therefore, the results may …

External validation, radiological evaluation, and development of deep learning automatic lung segmentation in contrast-enhanced chest CT

K Dwivedi, M Sharkey, S Alabed, CP Langlotz… - European …, 2024 - Springer
… The majority of studies with external validation demonstrate diminished algorithm … model
on external validation. This study performs external validation not only after deployment in a …

Closing the implementation gap in pre-deployment medical AI study design

L Oakden-Rayner - 2021 - digital.library.adelaide.edu.au
… experience with medical AI has validated these concerns, with … chest radiographs. This
dataset was released in 2017 and updated later the same year, containing 112,120 frontal chest

COVID_SCREENET: COVID-19 screening in chest radiography images using deep transfer stacking

R Elakkiya, P Vijayakumar, M Karuppiah - Information Systems Frontiers, 2021 - Springer
validated and blind reviewed with the help of two radiologists at Thanjavur Medical College
& Hospitals by collecting 2216 chest … -need-for-rt-pcr-test-2145687.html, nd) was deployed at …

COVID-19 on chest radiographs: a multireader evaluation of an artificial intelligence system

K Murphy, H Smits, AJG Knoops, MBJM Korst… - Radiology, 2020 - pubs.rsna.org
… ) was trained on 24 678 chest radiographs, including 1540 used only for validation while
training. The test set consisted of a set of continuously acquired chest radiographs (n = 454) …

Hurdles to artificial intelligence deployment: noise in schemas and “gold” labels

M Abdalla, B Fine - Radiology: Artificial Intelligence, 2023 - pubs.rsna.org
… in deployment (4), which have all been explored previously (5). In this article, we use the
chest radiograph … ) and later (ie, local validation) in the machine learning deployment pipeline. …

Suboptimal chest radiography and artificial intelligence: the problem and the solution

G Dasegowda, MK Kalra, AS Abi-Ghanem, CD Arru… - Diagnostics, 2023 - mdpi.com
… anatomy by chin or arms projecting on the chest, and low lung volume due to inadequate
inspiration, as shown in Figure 2. We intend to deploy these AI algorithms to perform a post-…