AIMC Journal:
European radiology
Showing 261 to 270 of 621 articles
MRI-based two-stage deep learning model for automatic detection and segmentation of brain metastases.
European radiology
Jan 25, 2023
OBJECTIVES: To develop and validate a two-stage deep learning model for automatic detection and segmentation of brain metastases (BMs) in MRI images.
Free-breathing and instantaneous abdominal T mapping via single-shot multiple overlapping-echo acquisition and deep learning reconstruction.
European radiology
Jan 24, 2023
OBJECTIVES: To develop a real-time abdominal T mapping method without requiring breath-holding or respiratory-gating.
Is the generalizability of a developed artificial intelligence algorithm for COVID-19 on chest CT sufficient for clinical use? Results from the International Consortium for COVID-19 Imaging AI (ICOVAI).
European radiology
Jan 18, 2023
OBJECTIVES: Only few published artificial intelligence (AI) studies for COVID-19 imaging have been externally validated. Assessing the generalizability of developed models is essential, especially when considering clinical implementation. We report t...
Multicentre external validation of a commercial artificial intelligence software to analyse chest radiographs in health screening environments with low disease prevalence.
European radiology
Jan 10, 2023
OBJECTIVES: To externally validate the performance of a commercial AI software program for interpreting CXRs in a large, consecutive, real-world cohort from primary healthcare centres.
Low-contrast-dose liver CT using low monoenergetic images with deep learning-based denoising for assessing hepatocellular carcinoma: a randomized controlled noninferiority trial.
European radiology
Dec 28, 2022
OBJECTIVE: Low monoenergetic images obtained using noise-reduction techniques may reduce CT contrast media requirements. We aimed to investigate the effectiveness of low-contrast-dose CT using dual-energy CT and deep learning-based denoising (DLD) te...
Deep learning assisted contrast-enhanced CT-based diagnosis of cervical lymph node metastasis of oral cancer: a retrospective study of 1466 cases.
European radiology
Dec 28, 2022
OBJECTIVES: Lymph node (LN) metastasis is a common cause of recurrence in oral cancer; however, the accuracy of distinguishing positive and negative LNs is not ideal. Here, we aimed to develop a deep learning model that can identify, locate, and dist...
Fully automatic volume measurement of the adrenal gland on CT using deep learning to classify adrenal hyperplasia.
European radiology
Dec 26, 2022
OBJECTIVES: To develop a fully automated deep learning model for adrenal segmentation and to evaluate its performance in classifying adrenal hyperplasia.
Artificial intelligence-based diagnosis of asbestosis: analysis of a database with applicants for asbestosis state aid.
European radiology
Dec 26, 2022
OBJECTIVES: In many countries, workers who developed asbestosis due to their occupation are eligible for government support. Based on the results of clinical examination, a team of pulmonologists determine the eligibility of patients to these program...
The uncovered biases and errors in clinical determination of bone age by using deep learning models.
European radiology
Dec 20, 2022
OBJECTIVES: To evaluate AI biases and errors in estimating bone age (BA) by comparing AI and radiologists' clinical determinations of BA.
AI support for accurate and fast radiological diagnosis of COVID-19: an international multicenter, multivendor CT study.
European radiology
Dec 16, 2022
OBJECTIVES: Differentiation between COVID-19 and community-acquired pneumonia (CAP) in computed tomography (CT) is a task that can be performed by human radiologists and artificial intelligence (AI). The present study aims to (1) develop an AI algori...
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