Artificial intelligence literacy: developing a multi-institutional infrastructure for AI education
Rationale and Objectives To evaluate the effectiveness of an artificial intelligence (AI) in
radiology literacy course on participants from nine radiology residency programs in the …
radiology literacy course on participants from nine radiology residency programs in the …
Quantitative imaging decision support (QIDSTM) tool consistency evaluation and radiomic analysis by means of 594 metrics in lung carcinoma on chest CT scan
Objective: To evaluate the consistency of the quantitative imaging decision support
(QIDSTM) tool and radiomic analysis using 594 metrics in lung carcinoma on chest CT scan …
(QIDSTM) tool and radiomic analysis using 594 metrics in lung carcinoma on chest CT scan …
A blockchain-based protocol for tracking user access to shared medical imaging
Modern healthcare systems are complex and regularly share sensitive data among multiple
stakeholders, such as doctors, patients, and pharmacists. Patients' data has increased and …
stakeholders, such as doctors, patients, and pharmacists. Patients' data has increased and …
Convolutional neural network model based on radiological images to support COVID-19 diagnosis: Evaluating database biases
CBS Maior, JMM Santana, ID Lins, MJC Moura - Plos one, 2021 - journals.plos.org
As SARS-CoV-2 has spread quickly throughout the world, the scientific community has spent
major efforts on better understanding the characteristics of the virus and possible means to …
major efforts on better understanding the characteristics of the virus and possible means to …
Quantitative molecular positron emission tomography imaging using advanced deep learning techniques
The widespread availability of high-performance computing and the popularity of artificial
intelligence (AI) with machine learning and deep learning (ML/DL) algorithms at the helm …
intelligence (AI) with machine learning and deep learning (ML/DL) algorithms at the helm …
[HTML][HTML] Establishing key research questions for the implementation of artificial intelligence in colonoscopy: a modified Delphi method
Background Artificial intelligence (AI) research in colonoscopy is progressing rapidly but
widespread clinical implementation is not yet a reality. We aimed to identify the top …
widespread clinical implementation is not yet a reality. We aimed to identify the top …
REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays
R Bigolin Lanfredi, M Zhang, WF Auffermann, J Chan… - Scientific data, 2022 - nature.com
Deep learning has shown recent success in classifying anomalies in chest x-rays, but
datasets are still small compared to natural image datasets. Supervision of abnormality …
datasets are still small compared to natural image datasets. Supervision of abnormality …
A survey of ASER members on artificial intelligence in emergency radiology: trends, perceptions, and expectations
Purpose There is a growing body of diagnostic performance studies for emergency
radiology-related artificial intelligence/machine learning (AI/ML) tools; however, little is …
radiology-related artificial intelligence/machine learning (AI/ML) tools; however, little is …
Accounting for data variability in multi-institutional distributed deep learning for medical imaging
N Balachandar, K Chang… - Journal of the …, 2020 - academic.oup.com
Objectives Sharing patient data across institutions to train generalizable deep learning
models is challenging due to regulatory and technical hurdles. Distributed learning, where …
models is challenging due to regulatory and technical hurdles. Distributed learning, where …
Artificial intelligence CAD tools in trauma imaging: a scoping review from the American Society of Emergency Radiology (ASER) AI/ML Expert Panel
Abstract Background AI/ML CAD tools can potentially improve outcomes in the high-stakes,
high-volume model of trauma radiology. No prior scoping review has been undertaken to …
high-volume model of trauma radiology. No prior scoping review has been undertaken to …