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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.

Radiation exposure during imaging may be causing some pediatric cancer cases

Although the risk of developing cancer due to radiation exposure during medical imaging is small, there are clear associations between the two.

Echogenic rinds on ultrasound may signal invasive cancer.

Breast ultrasound finding may signal invasive cancer, research suggests

Though this finding is relatively uncommon, it is expected that the BI-RADS 6th edition ultrasound lexicon will include it as a feature associated with malignancy.

artificial intelligence healthcare industry digest

Are LLMs ready for radiology? Research reveals how chatbots' performance has evolved over time

Large language models have shown great potential in medical imaging, but their success has been hindered by their wavering effectiveness. Now, nearly three years after ChatGPT's release, experts are sharing new insights.

AI model reduces false positives on lung cancer CT scans

AI model nearly halves false positive rates for lung cancer CT screenings

Reducing false positives could decrease the frequency of unnecessary procedures, lower the associated costs and also ease patient anxiety concerning CT results.

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