Search Tag: Chest CT

AI vs Humans: Detecting Incidental Pulmonary Embolism on Chest CT

2022 19 Jul

A study was conducted to assess the diagnostic performance of an AI algorithm for detecting incidental pulmonary embolus (iPE) on conventional contrast-enhanced chest CT examinations. Results show that the AI tool had a high negative predictive value (NPV) and moderate positive predictive value (PPV) for detection and was able to find some iPEs that... Read more

COVID-19 Imaging and Artificial Intelligence

2020 07 Oct

A new position paper provides a collection of views on the role of Artificial Intelligence (AI) in the COVID-19 pandemic. The paper discusses clinical tools, the design of AI-based systems and the application of these tools in the clinic. Factors in designing system solutions are also discussed. The authors focus on three specific use cases for which... Read more

Applying AI Algorithms to COVID-19

2020 16 Jul

The adage ‘necessity is the mother of invention’ is all the more true during the COVID-19 pandemic, when scientists are racing to find new vaccines and treatments. Early diagnosis of the disease is another area that needs to be given more focus, since timely and accurate detection of patients with COVID-19 means appropriate therapy can be initiated... Read more

COVID-19 and Imaging – Our Top Stories

2020 13 Jul

HealthManagement.org continues to provide up-to-date coverage of COVID-19 and its impact on radiology practice and diagnostic imaging. Here are some of our top stories so far:   How is the Pandemic Affecting Radiology Practice? An overview of how the Radiology Department at Hospital Clinic in Barcelona handled the COVID-19 pandemic and how this... Read more

Volume 20 - Issue 4, 2020

2020 23 Jun

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Imaging features in COVID-19 - Experience from Wuhan

2020 18 May

A study was conducted in China to evaluate the CT scan features of patients with COVID 19 pneumonia. The study looked at the CT scan imaging features in 100 COVID-19 pneumonia patients (mean age 52.3 years) without acute respiratory distress syndrome. A total of 272 CT scans were read and evaluated based on the different stages of the disease. The... Read more

COVID-19 Care Continuum

2020 11 May

Think back to January 1, 2020. Can you even remember what the outlook was for a new decade in your area of healthcare? The first phase of the deadly coronavirus disease, COVID-19, has practically swept away any memory of the status quo before it hit like a tsunami and healthcare scrambled to fight it. Today, months later, more than 200 countries... Read more

Imaging AI for Chest CT to Aid in Resource Allocation During COVID-19

2020 11 May

Evaluating the severity of pulmonary disease burden can help predict patient outcome in COVID-19 (Colombi et al. 2020; Revel et al. 2020). Quantifying lung pathology is, therefore, a crucial element in the resource and capacity management optimization of healthcare systems. The need to make a more objective decision on whether or not to send a patient... Read more

RSNA 2019: AI Helps Find Signs of Heart Disease on Lung Cancer Screens

2019 04 Dec

  With the help of artificial intelligence (AI), researchers have developed a tool that automatically measures coronary artery calcium – an important marker of heart disease – on chest CT images, according to a study being presented this week at the annual meeting of the Radiological Society of North America (RSNA).     You might also... Read more

Rib Fracture Diagnosis in the Panscan Era

2017 06 Jun

With increased use of chest computed tomography (CT) in trauma valuation, traditional teachings in regard to rib fracture morbidity and mortality may no longer be accurate. New research shows that, under current chest CT imaging protocols, two thirds of rib fractures were observed on chest CT only; also, patients with rib fractures had higher admission... Read more