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Deep-Learning Chest Radiograph Model Predicts Mortality for Community-Acquired Pneumonia

Imaging Technology

The deep learning (DL) model may guide clinical decision-making in the management of patients with CAP by identifying high-risk patients who warrant hospitalization and intensive treatment,” concluded first author Eui Jin Hwang, MD, PhD, from the department of radiology at Seoul National University College of Medicine in Korea. Hwang et al.

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Hip x-rays help screen for osteoporosis in THA patients

AuntMinnie

The finding is from a study conducted by a group at the University Hospital Jena in Eisenberg, Germany, that explored whether hip x-rays could be reliable indicators for bone mineral density (BMD) in male and female patients prior to THA procedures. “An

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Carestream Launches New DRX Excel Plus X-ray System with Advanced Features to Improve Productivity and Patient Experience

Imaging Technology

Additionally, all table movements can be controlled by the radiographer from the touch screen, enabling easy setup of either fluoroscopy or radiography settings. A camera integrated into the collimators allows the radiographer to position the patient directly from the console without using fluoroscopy.

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Can AI help rule out ‘unremarkable’ chest x-rays?

AuntMinnie

The finding by researchers in Copenhagen, Denmark, suggests that AI could eventually help streamline high-volume radiology workflows by handling some of the more “tedious parts of the work,” lead author Louis Plesner, MD, of Herlev and Gentofte Hospital in Denmark told AuntMinnie.com.

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Reducing Retake Rates and Exposures in General Digital Radiology

Everything Rad

Repeating imaging exams increases the workload of your radiographers who are already stretched too thin; increases the exposure of the affected patients; and contributes to patients’ reduced confidence and satisfaction with your imaging department. The Audio Assist makes it easier for radiographers to hear the patients.

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AI model shows promise for interpreting follow-up chest x-rays

AuntMinnie

Radiologists routinely compare the current and previous chest radiographs during interpretation to enhance the sensitivity for change detection and provide information for differential diagnosis. Example of triage of no change in a pair of chest radiographs in the emergency department. (A) Image courtesy of Radiology.

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CMCU Digital Radiography (DR) Group Introduces Clinical White Paper on Intelligent Noise Reduction in Pediatric Radiography Study

Imaging Technology

The white paper evaluates the capabilities of Canon Intelligent NR and its deep learning neural network (DLNN) software in relation to standard and decreased dose pediatric digital radiographs at Dayton Children’s Hospital, Dayton, Ohio. 26 –29, 2023 in North Hall, Level 3, booth #7913.