Artificial intelligence for interstitial lung disease analysis on chest computed tomography: a systematic review
Rationale and Objectives High-resolution computed tomography (HRCT) is paramount in
the assessment of interstitial lung disease (ILD). Yet, HRCT interpretation of ILDs may be …
the assessment of interstitial lung disease (ILD). Yet, HRCT interpretation of ILDs may be …
Artificial intelligence fracture recognition on computed tomography: review of literature and recommendations
LHM Dankelman, S Schilstra, FFA IJpma… - European Journal of …, 2023 - Springer
Purpose The use of computed tomography (CT) in fractures is time consuming, challenging
and suffers from poor inter-surgeon reliability. Convolutional neural networks (CNNs), a …
and suffers from poor inter-surgeon reliability. Convolutional neural networks (CNNs), a …
Impact of artificial intelligence assistance on chest CT interpretation times: a prospective randomized study
B Yacoub, A Varga-Szemes… - American Journal of …, 2022 - Am Roentgen Ray Soc
Please see the Editorial Comment by Edwin F. Donnelly discussing this article.
BACKGROUND. Deep learning–based convolutional neural networks have enabled major …
BACKGROUND. Deep learning–based convolutional neural networks have enabled major …
Software using artificial intelligence for nodule and cancer detection in CT lung cancer screening: systematic review of test accuracy studies
J Geppert, A Asgharzadeh, A Brown, C Stinton… - thorax, 2024 - thorax.bmj.com
Objectives To examine the accuracy and impact of artificial intelligence (AI) software
assistance in lung cancer screening using CT. Methods A systematic review of CE-marked …
assistance in lung cancer screening using CT. Methods A systematic review of CE-marked …
[HTML][HTML] Role and progress of artificial intelligence in radiodiagnosing vascular calcification: a narrative review
Z Zhong, W Yang, C Zhu, Z Wang - Annals of Translational …, 2023 - ncbi.nlm.nih.gov
Methods A search was conducted in PubMed and Web of Science. The key words included
“artificial intelligence”,“machine learning”,“deep learning”, and “vascular calcification”. The …
“artificial intelligence”,“machine learning”,“deep learning”, and “vascular calcification”. The …
Anemia detection and quantification in contrast-enhanced CT scans on a novel photon-counting detector CT: A prospective proof-of-concept study
Purpose To correlate CT values of the blood pool on VNC series with serum hemoglobin
values for the detection of anemia in oncologic patients undergoing contrast-enhanced PCD …
values for the detection of anemia in oncologic patients undergoing contrast-enhanced PCD …
Tumor burden of lung metastases at initial staging in breast cancer patients detected by artificial intelligence as a prognostic tool for precision medicine
MR Kocher, J Chamberlin, J Waltz, M Snoddy… - Heliyon, 2022 - cell.com
Background Determination of the total number and size of all pulmonary metastases on
chest CT is time-consuming and as such has been understudied as an independent metric …
chest CT is time-consuming and as such has been understudied as an independent metric …
A deep convolutional neural network ensemble for composite identification of pulmonary nodules and incidental findings on routine PET/CT
AIM To evaluate primary and secondary pathologies of interest using an artificial intelligence
(AI) platform, AI-Rad Companion, on low-dose computed tomography (CT) series from …
(AI) platform, AI-Rad Companion, on low-dose computed tomography (CT) series from …
Application of an artificial intelligence ensemble for detection of important secondary findings on lung ventilation and perfusion SPECT-CT
C Smith, S Nance, JH Chamberlin, D Maisuria… - Clinical Imaging, 2023 - Elsevier
Rationale Single-photon-emission-computerized-tomography/computed-tomography
(SPECT/CT) is commonly used for pulmonary disease. Scant work has been done to …
(SPECT/CT) is commonly used for pulmonary disease. Scant work has been done to …
Repeatability of AI-based, automatic measurement of vertebral and cardiovascular imaging biomarkers in low-dose chest CT: the ImaLife cohort
I Hamelink, M van Tuinen, TC Kwee… - European …, 2025 - Springer
Objective To evaluate the repeatability of AI-based automatic measurement of vertebral and
cardiovascular markers on low-dose chest CT. Methods We included participants of the …
cardiovascular markers on low-dose chest CT. Methods We included participants of the …