External validation of deep learning algorithms for radiologic diagnosis: a systematic review
Purpose To assess generalizability of published deep learning (DL) algorithms for radiologic
diagnosis. Materials and Methods In this systematic review, the PubMed database was …
diagnosis. Materials and Methods In this systematic review, the PubMed database was …
Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review
The outbreak of the COVID-19 pandemic is unarguably the biggest catastrophe of the 21st
century, probably the most significant global crisis after the second world war. The rapid …
century, probably the most significant global crisis after the second world war. The rapid …
Deep learning for malignancy risk estimation of pulmonary nodules detected at low-dose screening CT
Background Accurate estimation of the malignancy risk of pulmonary nodules at chest CT is
crucial for optimizing management in lung cancer screening. Purpose To develop and …
crucial for optimizing management in lung cancer screening. Purpose To develop and …
COVID-19 imaging: what we know now and what remains unknown
Infection with SARS-CoV-2 ranges from an asymptomatic condition to a severe and
sometimes fatal disease, with mortality most frequently being the result of acute lung injury …
sometimes fatal disease, with mortality most frequently being the result of acute lung injury …
Artificial intelligence with deep learning in nuclear medicine and radiology
The use of deep learning in medical imaging has increased rapidly over the past few years,
finding applications throughout the entire radiology pipeline, from improved scanner …
finding applications throughout the entire radiology pipeline, from improved scanner …
A deep-learning-based framework for severity assessment of COVID-19 with CT images
Z Li, S Zhao, Y Chen, F Luo, Z Kang, S Cai… - Expert Systems with …, 2021 - Elsevier
Millions of positive COVID-19 patients are suffering from the pandemic around the world, a
critical step in the management and treatment is severity assessment, which is quite …
critical step in the management and treatment is severity assessment, which is quite …
How does DICOM support big data management? Investigating its use in medical imaging community
The diagnostic imaging field is experiencing considerable growth, followed by increasing
production of massive amounts of data. The lack of standardization and privacy concerns …
production of massive amounts of data. The lack of standardization and privacy concerns …
The role of chest imaging in the diagnosis, management, and monitoring of coronavirus disease 2019 (COVID-19)
Abstract Coronavirus disease 2019 (COVID-19) pandemic has posed a major public health
crisis all over the world. The role of chest imaging, especially computed tomography (CT) …
crisis all over the world. The role of chest imaging, especially computed tomography (CT) …
Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT
Abstract The Coronavirus disease 2019 (COVID-19) presents open questions in how we
clinically diagnose and assess disease course. Recently, chest computed tomography (CT) …
clinically diagnose and assess disease course. Recently, chest computed tomography (CT) …
[HTML][HTML] An intelligent sensor based decision support system for diagnosing pulmonary ailment through standardized chest x-ray scans
Academics and the health community are paying much attention to develo** smart remote
patient monitoring, sensors, and healthcare technology. For the analysis of medical scans …
patient monitoring, sensors, and healthcare technology. For the analysis of medical scans …