Subspecialties: Page 82

AI plus CT tracks fatty tissue changes in people at risk of lung cancer
By Kate Madden Yee
Adding deep learning to CT imaging to assess changes in subcutaneous adipose tissue over time could help predict outcomes among individuals vulnerable to lung cancer.
December 15, 2023
Lung Cancer Hotspot
AI shows promise detecting TB in Zambia
By Will Morton
An AI algorithm developed by Google shows potential as a scalable triage test for active pulmonary tuberculosis (TB) in settings with limited resources.
December 14, 2023
Tb
Nucleus RadioPharma appoints Kathy Spencer-Pike as CCO
By AuntMinnie.com staff writers
Nucleus RadioPharma has appointed Kathy Spencer-Pike as its chief commercial officer (CCO).
December 14, 2023
Kathy Spencer-Pike.
MRI radiomics features help predict Alzheimer's progression
By Kate Madden Yee
Adding MRI features to clinical ones in a machine learning model can help predict the progression of Alzheimer's disease among those with early disease, according to a study published on December 13 in Alzheimer's & Dementia.
December 14, 2023
Brain Puzzle Stars 400
Safety net hospital provides equitable care in breast screening
By Amerigo Allegretto
Safety net hospitals provide equitable care in breast cancer screening in terms of race and ethnicity.
December 14, 2023
Breast Mammography Tech
PET/MRI reveals separate Alzheimer’s biomarkers in single scan
By Will Morton
A PET radiotracer for diagnosing Alzheimer’s disease may also be used to measure vascular brain changes in patients during PET/MRI scans.
December 12, 2023
A visual abstract of a study exploring early-frame F-18 florbetaben PET/MRI for quantifying cerebral blood flow in patients with cognitive impairment. Image courtesy of the Journal of Nuclear Medicine.
AI improves x-ray reads for rads with varying experience
By Will Morton
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.
Opportunistic low-dose CT lung cancer screening reduces mortality
By Kate Madden Yee
Opportunistic low-dose CT lung cancer screening can reduce mortality from the disease by almost 50%, recent research has found.
December 12, 2023
Lung Cancer Ct 3d 400
GT Medical Technologies inks supply deal with Perspective Therapeutics
By AuntMinnie.com staff writers
GT Medical Technologies has inked an agreement with Perspective Therapeutics to acquire all radioactive cesium-131 seed assets from its subsidiary Isoray Medical.
December 12, 2023
Businessman Shake Hand Collegue
Nonphysician providers often used in pediatric radiology settings
By Amerigo Allegretto
A survey study described current workforce trends in pediatric radiology, including the use of nonphysician providers in the area.
December 12, 2023
Diverse Children 400
AI predicts responses in patients with prostate cancer
By Will Morton
An AI model based on F-18 DCFPyL PSMA-PET/CT images shows promise for predicting treatment response in patients with metastatic castration-resistant prostate cancer.
December 12, 2023
Prostate Cancer
Lunit completes stage II of Australian breast cancer screening project
By AuntMinnie.com staff writers
Lunit's Insight MMG system has completed stage II of Australia's national breast cancer screening project.
December 11, 2023
Lunit Logo
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