Digital X-Ray: Page 11

Discover radiology's roots at the German Roentgen Museum

By Dr. Adrian Thomas

Make sure you add the world-famous Roentgen Museum to your bucket list, urges history buff Dr. Adrian Thomas. He describes his visit to Remscheid-Lennep, Germany.

December 18, 2023

The Röntgen Museum has been extended and modernized over recent years.

Bone scans support high-velocity resistance training in older adults

Dual-energy x-ray absorptiometry scans show that high-velocity resistance training increases bone mineral density in older adults.

December 15, 2023

AI improves x-ray reads for rads with varying experience

AI assistance can improve the detection accuracy of thoracic abnormalities on chest x-rays across radiologists with varying levels of expertise.

December 13, 2023

AI detected a lung mass, a lung nodule, and a small pneumothorax. Without AI assistance, only one thoracic radiologist and one general radiologist detected all abnormalities, whereas with AI assistance, one thoracic radiologist, two general radiologists, and one resident detected all abnormalities. Corresponding coronal and axial CT images show the lung mass (arrows), the lung nodule (white arrowheads), and the small pneumothorax (black arrowheads) that should have been detected on the chest radiograph. Image courtesy of Radiology.

Deep-learning model measures shoulder kinematics on DDR

An AI algorithm may make dynamic digital radiography (DDR) more efficient by automatically measuring kinematics involved in certain shoulder injuries.

December 1, 2023

Vieworks introduces new technologies at RSNA 2023

By AuntMinnie.com staff writers

Vieworks introduced three new radiation dose and image processing software technologies at RSNA 2023.

November 30, 2023

X Ray Radiography Tech Patient

AI assist for x-ray reads serves nonradiologists well in the ED

German researchers are testing ways to support nonradiologists in interpreting chest x-rays in emergency department (ED) settings using an AI assistant.

November 29, 2023

Chest Lung Xray 400

AI cuts time for radiologists reporting fractures on x-rays

A commercially available AI algorithm that can prioritize x-ray exams when it detects fractures yields “tremendous reductions” in report turnaround times.

November 28, 2023

Artificial Intelligence Ai Global Communication Network

3 AI-based technology trends on display at the 2023 RSNA conference

By Vincent Chan

Vincent Chan of Carestream predicts technology trends for AI in digital radiography at RSNA 2023.

November 22, 2023

Hip x-rays help screen for osteoporosis in THA patients

Plain hip x-rays may help screen patients for osteoporosis before they undergo total hip arthroplasty (THA).

November 21, 2023

An example of measurement on plain anterior-posterior x-rays used in the study: canal-bone-ratio CBR-7 cm (Cm/Cc) and CBR-10 cm (Dm/Dc), canal-calcar ratio CCR (Dm/Bm); canal flare index CFI (A/Dm). Image courtesy of Scientific Reports.

AI detects incidental lung nodules on chest x-rays

AI based lesion-detection software used in daily practice can help identify clinically significant incidental lung nodules on chest x-rays

November 16, 2023

A true positive case in a 72-year-old male with a granuloma on chest x-ray after visiting the neurology outpatient clinic for memory disturbance. A small lung nodule was detected in the left-middle to lower lung field by AI software, with an abnormality score of 26%. Co-existing fibrosis was suspected in the apex of bilateral upper lungs, with an abnormality score of 76%. Image courtesy of Scientific Reports.

Julianna Czum talks AI chest radiograph study with AuntMinnie.com

By Amerigo Allegretto

Julianna Czum, MD, spoke with AuntMinnie.com on a study that tested a deep-learning algorithm on triaging chest radiographs.

November 6, 2023

Julianna Czum Interview

AI model predicts scoliosis spinal curve progression

A deep-learning AI model shows promise for predicting spinal curves in individuals with adolescent idiopathic scoliosis.

November 3, 2023

Three regions of interest (ROI) were selected and processed for training from each original radiograph. The leftmost image is the original coronal view radiograph. The original radiograph was passed through the CLAHE algorithm to enhance image brightness and contrast. The three crop boxes outlined by red dotted lines illustrate the three crops generated for model training. Crop 1 selects the ROI for the whole-spine region according to coordinates exported by AlignProCARE. Crops 2 and 3 select the ROIs for the upper and lower end vertebra of the major curvature. All ROIs were subsequently resized into 256 × 256 for Crop 1 and 50 × 50 for Crop 2 and 3. Crop 1 ROI was additionally multiplied by a Gaussian mask to amplify the signal of the vertebrae. Image courtesy of the Global Spine Journal.

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