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. 

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
Ultrasight's AI to guide echo cardiac ultrasound POCUS exams at ASE 2023. The thumbnail of the chest shows the user how to the position the transducer and where to move or stop for image acquisition. The bar graph shows the quality of the image.

FDA clears new AI to guide point-of-care cardiac ultrasound exams

The FDA approved UltraSight's AI to show ultrasound users how to perform a diagnostic quality cardiac ultrasound exam at the point of care in multiple settings.

July 31, 2023
Cloud imaging

Big Tech player dives deep into medical imaging with ‘purpose-built’ service

The world’s most popular supplier of cloud services has become a dedicated radiology vendor.

July 31, 2023
artificial intelligence cybersecurity cybercrime patient data privacy

Imaging AI adds value to patient data but also puts it at heightened risk

Healthcare AI continues its march into clinical departments as well as imaging activities. In the process, it’s only multiplying break-and-entry points seductive to cybercriminals.

July 28, 2023
probably benign abnormalities on mammogram

Deep learning detects precancerous changes on mammograms

What’s more, the model proved beneficial in a large, diverse cohort that included women with benign breast disease and BRCA mutations.

July 26, 2023
Video of Maddie Jankowski explaining sonographer highlights and trends at the American Society of Echo (ASE) 2023 meeting.

The rise of AI and other key takeaways for sonographers at ASE 2023

Cardiac sonographer Maddie Jankowski, BS, ACS, RDCS, joined us to explore key trends and updates for sonographers from ASE 2023 in National Harbor, Maryland. 

July 25, 2023
#CTA #acuteischemicstroke #AIS #radiomics

Evidence supporting use of radiomics is 'insufficient' and 'weak,' according to new meta-analysis

Although the predictive power of radiomics has been touted as a tool that could improve patient outcomes, the method has a long way to go before it can be reliably introduced into real-world clinical environments.

July 24, 2023
radiology reporting EHR health record CDS AUC

ImpressionGPT, a ChatGPT-based framework, can accurately summarize radiology reports

The program leverages the in-context learning abilities of large language models to generate report summaries using domain-specific, individualized data relative to radiology.

July 17, 2023

Around the web

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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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