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Chest x-ray AI shines in ‘real-world’ setting

AuntMinnie

A PACS-integrated AI tool not only correctly identified pneumothorax on inpatient chest x-rays but also prioritized scans and improved radiologist reporting times, according to a group in Cleveland, OH. The research was published October 29 in Academic Radiology.

X-ray 111
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AI-Based Analysis of Dynamic Digital Radiography Data Gives Researchers Greater Insight into Lung Function and Pulmonary Disorders

Imaging Technology

Braun , MD, Clinical Professor of Medicine (Pulmonary, Critical Care and Sleep Medicine), Icahn Mount Sinai , and a co-author of the study. DDR is a much easier method to capture lung function and it provides more clinical data than PFT alone. Chest radiography is typically acquired in the evaluation of pulmonary disorders.

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Meet the Minnies 2024 finalists

AuntMinnie

Most Influential Radiology Researcher Erik Middlebrooks, MD, Mayo Clinic, Jacksonville, FL Erik Middlebrooks, MD. One of this year's nominations for Most Influential Radiology Researcher is Erik Middlebrooks, MD, of the Mayo Clinic in Jacksonville, FL.

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Artificial Intelligence Embedded Imaging Modality

The British Institute of Radiology

In the third blog of her series on AI and the radiographer, Shamie Kumar explores the impact on the radiographer when AI is integrated within an imaging modality. The question to explore in this blog is when AI is integrated within an imaging modality itself and how that may impact a radiographer.

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REBEL Core Cast 107.0 – Vertebral Osteomyelitis

REBEL EM

Take Home Points Clinical presentation is very nonspecific; evaluate all patients presenting with back pain for infectious risk factors. MRI is key to diagnosis, obtain this imaging in all patients who raise clinical suspicion Patients with hemodynamic instability and neurologic compromise warrant empiric antibiotics. 7 th ed.

Myelogram 102
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FDA Clears Qure.ai's qXR-CTR Chest X-ray Solution as a Potential Indicator for Identifying Heart Failure Risk

Imaging Technology

The qXR-CTR is a deep-learning-based computer vision algorithm designed for use by physicians in all inpatient and outpatient settings, to automate the CTR assessment on chest radiographs (CXR). Tariq Ahmad , Chief, Heart Failure Program - Section of Cardiology, Yale School of Medicine With the FDA clearance of qXR-CTR, Qure.ai

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Innovation Through a Pandemic – How to survive when there’s nothing to report

The British Institute of Radiology

A period of uncertainty, business survival, the protection of our staff and their livelihoods and a readiness to provide a clinical service our patients rely on. Just in one single day in that month, Telemedicine Clinic (TMC) reported over 1400 elective cross-sectional scans to its NHS customer base.