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. 

lung cancer pulmonary nodule chest

FDA clears AI-powered software that pinpoints suspicious findings on chest X-rays

VisiRad XR was developed using curated data sets from across the globe, developer Imidex said in an announcement. 

August 18, 2023
Video of Partho Sengupta, MD, explaining two major shifts in AI for echocardiography at ASE 2023. These include GPT and deep learning to automate measurements. #ASE23 #ASE2023 #ASE #AI

2 key reasons the use of AI in echocardiography is growing

Partho Sengupta, MD, an expert on the use of AI in cardiology, says some of the technologies being developed today will fundamentally change how cardiologists and sonographers do their jobs.

August 16, 2023
Artificial intelligence can help make breast cancer screening mammography more accurate.

AI-based decision support tool can reduce unnecessary breast biopsies, save millions

Scientists at Houston Methodist Hospital developed the intelligent-augmented breast cancer risk calculator, testing it across a large dataset to produce promising results. 

August 11, 2023
 background parenchyma enhancement breast MRI

MRI finding linked to heightened cancer risk among women with very dense breasts

A new AI model helped researchers identify a relationship between background parenchyma enhancement on breast MRI exams and breast cancer risk.

August 9, 2023
artificial intelligence consultation

New-look AI model for imaging results provides its own second opinions

The "dual-view" algorithm is separated into two distinct parts that can learn from one another and catch potential errors. 

August 4, 2023
Artificial intelligence (AI) has been one of the biggest stories in healthcare for years, but many clinicians still remain unsure about how, exactly, they should be using AI to help their patients. A new analysis in European Heart Journal explored that exact issue, providing cardiology professionals with a step-by-step breakdown of how to get the most out of this potentially game-changing technology.

New scoring systems help grade the accuracy of AI-generated radiology reports

Health systems need to trust that artificial intelligence-based reports are accurate and complete. 

August 4, 2023

AI reduces radiologists’ mammography screen-reading workload by 44%

The technology was able to detect about 20% more cancers when compared to standard screening, without impacting false positives.

August 2, 2023
HeartFlow's RoadMap technology where AI reads the image in a first pass to highlight areas of interest with for the radiologist or cardiologist on coronary CT scan. The technology was shown to reduce reading time by 25%.

Three studies show value of AI to speed cardiac CT reads and soft plaque evaluation 

AI to help interpret cardiac CT was shown to reduce exam read times to improve workflow efficiency, and improve patient diagnostics with additional information on soft plaques. Data was presented in three HeartFlow AI technology studies at SCCT 2023.

July 31, 2023

Around the web

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

"I see, at least for the next decade, this being a SPECT and PET world, not one or the other," explained Tim Bateman, MD.

The FDA-approved technology developed by HeartFlow can predict a patient's long-term risk of target vessel failure as well as more invasive treatments performed inside a cath lab. 

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