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Dynamic Digital Radiography Quantitatively Diagnoses Diaphragm Dysfunction

Imaging Technology

12, 2025 Konica Minolta Healthcare Americas, has published a case study by clinicians in the pulmonary and radiology departments at ASST Fatebenefratelli Sacco (Milan, Italy) demonstrating the use of Dynamic Digital Radiography (DDR) to help definitively diagnose diaphragm dysfunction. tim.hodson Fri, 02/14/2025 - 15:14 Feb.12,

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

Imaging Technology

In this AJR accepted manuscript , a DL model was developed in 7,105 patients via one institution from March 2013 to December 2019 (3:1:1 allocation to training, validation, and internal test sets) to predict risk of all-cause mortality within 30 days after CAP diagnosis using patients’ initial chest radiograph. CURB-65 score). Hwang et al.

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ChatGPT outperforms clinicians in post-negative test disease probability

AuntMinnie

ChatGPT-4 outperformed human clinicians in determining pretest and post-test disease probability after a negative test result involving chest radiographs and mammograms, according to a research letter published December 11 in JAMA Network Open.

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Low risk of oropharynx cancer on PET/CT, surgeons advise

AuntMinnie

In an analysis of cases where F-18 FDG radiotracer uptake was reported as suspicious for oropharynx cancer on PET/CT scans, the number of patients who were actually diagnosed was low, the group found. Further analysis revealed that these diagnosed patients had higher F-18 FDG mean ipsilateral radiotracer uptake.

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Can AI help chest DDR achieve clinical adoption?

AuntMinnie

a) Raw example of a dynamic digital radiograph. (b) Moreover, while PFTs are vital for diagnosing and monitoring pulmonary disorders, they pose challenges in accessibility, such as in patients with neuromuscular conditions or those experiencing flares of chronic obstructive pulmonary disease, they suggested.

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Radiologists ‘compete’ on chest x-rays reads with and without AI

AuntMinnie

This competition demonstrated the value of AI in detecting and localizing many pathologies in chest radiographs by simulating the real work situations of radiologists,” the group wrote. The study was published February 8 in the Journal of Imaging Informatics in Medicine.

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Zscale Labs launches Neuromorphic AI

AuntMinnie

Dubai-based Zscale Labs is launching Neuromorphic AI, an AI software application for multilabel classification of chest radiographs. Neuromorphic AI leverages the firm's hyperdimensional computing and deep-learning technologies to assist radiologists and healthcare providers in diagnosing multiple chest conditions from x-ray images.

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