Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

David Gruen radiologist and Merative Merge CMO speaking on radiology IT trends at HIMSS 2023. #HIMSS #HIMSS2023 #HIMSS23

Key radiology IT trends at HIMSS 2023

Radiologist David Gruen, MD, discusses some of the overarching themes from the Healthcare Information Management Systems Society's annual meeting.

April 25, 2023
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Startup that converts MRIs into 3D assessments raises $3M from private equity, pro sports franchise

Springbok Analytics uses AI and the accuracy of magnetic resonance imaging to create “precise” muscle assessments. 

April 25, 2023
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AI dramatically reduces radiologists’ rate of missed incidental pulmonary embolism on routine CT

The commercial software also reduced the median detection and notification time for incidental PE in flagged scans from “several days” down to just 1 hour.

April 24, 2023

How a hospital system automated more than 60% of its prior authorization workflows in radiology

IT experts have used a mix of robotic process automation, AI and machine learning to fuel the new PA process. 

April 20, 2023

Industry first: FDA clears device for detecting stroke on noncontrast CT

RapidAI said it aims to give smaller facilities access to tools often only available at comprehensive stroke centers. 

April 19, 2023
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ChatGPT a ‘substantial first step’ toward AI-drafted radiologist reports

Using an RSNA template, the artificially intelligent chatbot was able to get high marks on report quality for distal radius fractures.


 

April 18, 2023

Common features of missed lung cancer on chest X-ray

It is crucial for radiologists to beware of these missed cases in routine practice, experts wrote recently in Clinical Imaging

April 14, 2023
Example of data generated by an automated artificial intelligence (AI) brain CT assessment tool from Annalise.ai at RSNA 2022. What does brain imaging look like?

AI company racks up 7 new FDA clearances for image triage and notification solutions

The Australia-based company made the announcement on April 12 in a release that described the timing of these AI-assisted solutions as “increasingly important” amid growing workloads and staffing shortages. 

April 12, 2023

Around the web

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

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