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Howard Berger, MD, RadNet chairman and CEO, discusses why the company has invested millions into DeepHealth to rapidly build up a new business model for artificial intelligence capabilities in radiology. #RSNA #HealthAI #ClinicalAI #Radiology

Why RadNet is betting heavily on AI to reshape radiology workflows

RadNet Chaiman and CEO Howard Berger, MD, explains why the company has invested tens of millions into DeepHealth to rapidly build up a new business model.

COVID-19 medical imaging examples of various clinical presentations. SARS-CoV-2 clinical imaging presentations.

PHOTO GALLERY: What does acute COVID-19 and long COVID look like on medical imaging?

This image gallery shows what the various clinical presentations associated with the COVID-19 and long COVID that have been documented during and after coronavirus pandemic.

Illustration showing how procizumab captures circulating dipeptidyl peptidase 3 (cDPP3) to block this key molecular driver of shock. Illustrations courtesy of 4TEEN4

$64M raised for new cardiogenic shock drug—research already underway

Procizumab was developed to change the trajectory of shock by addressing an underlying molecular driver rather than just managing symptoms.

Republicans win shutdown showdown—Senate agrees to funding deal without ACA subsidy extension

With eight Democrats agreeing to the Republican-backed deal that reverses the firings of federal workers, the Senate now has the 60 votes needed for the bill to advance. The rehirings will include the 1,200 workers fired at the Department of Health and Human Services.

Study highlights CT findings that could mask lung cancer, leading to delayed diagnosis

For many patients with interstitial lung disease, cancer could go undetected for years, putting them at risk of disease progression that would require more extensive treatment.

Machine learning model predicts which radiotherapy patients are most vulnerable to adverse side effects

The model integrates structured EHR data spanning patient characteristics, cancer treatment, vitals, lab results, medications and prior acute care utilization to determine an individual’s risk of requiring urgent care throughout the course of their treatment.

AI turns mammograms into CVD risk assessments—no outside data required

Thanks to AI, clinicians can use mammograms to do a lot more than identify signs of breast cancer. Researchers explored data from nearly 50,000 patients, presenting their findings in Heart.

Fewer than 30% of FDA-cleared AI devices share key safety, adverse event info prior to approval

A new analysis is prompting questions regarding how rigorously many of the AI-enabled tools approved by the U.S. Food and Drug Administration are evaluated prior to their clearance.

Internet searches reveal skyrocketing interest in POCUS implementation

New data align with a rise in intrigue around bedside point-of-care ultrasound to address growing patient demand.

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Overworked and underpaid—survey reveals radiologists' thoughts on after-hours work

Even before the onset of COVID-19, data suggested that rads’ after-hours workloads had doubled in proportion to the increase in emergency department visits in the years leading up to 2020.

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Iron load on imaging could signal impending cognitive decline in asymptomatic patients

Using an advanced MRI technique, experts were able to measure tissue susceptibility and detect subtle variances in iron levels throughout different regions of the brain associated with memory.

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FDA issues recall of intraoperative imaging system due to safety risks

The system enables surgeons to intraoperatively illuminate cancerous tissue in the breast cavity during lumpectomy surgery.

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