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.

GPT-4 can detect radiology report errors at the same rate as members of the specialty
“This efficiency in detecting errors may hint at a future where AI can help optimize the workflow within radiology departments," a lead author of the study said.
Semiautonomous AI shows potential to reduce false positives, unnecessary procedures and medical expenses
Scientists developed the deep learning algorithm using a set of over 123,000 digital mammograms (including 6,100-plus cancer cases).
GE HealthCare finalizes acquisition of Cleveland-based provider of AI imaging-analysis software
The company plans to integrate MIM Software's radiology and nuclear medicine solutions into its advanced-visualization product line.
Large language models excel at simplifying radiology reports
Yale scientists sought to gauge how LLMs such as ChatGPT-3.5/4, Google’s Bard (now known as Gemini) and Microsoft Bing could improve readability.
Radiology AI company gains FDA clearance for new CT offerings focused on PE, stroke
The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

AI quality assurance models saving lives and millions in avoided med-mal

Sponsored by vRad

Unrecognized imaging findings are an unfortunate, but undeniable, part of radiology. New advancements in artificial intelligence (AI) and machine learning offer a critical safety net that is improving care and saving lives — as well as avoiding millions of dollars in potential medical malpractice costs.

August 4, 2022

Fat attenuation index (FAI) CT imaging of coronary artery fat can show inflammation and can help pin-point vulnerable plaques, or show the reversal of inflammation due to drug therapies. The technology is being developed by the vendor Caristo, which has European CE mark and the company is seeking FDA clearance. #SCCT #SCCT2022

VIDEO: New Technologies in Cardiac CT Imaging

Ron Blankstein, MD, Brigham and Women's Hospital, explains recent advances in coronary computed tomography angiography (CCTA) technology.

August 3, 2022

Google, NIH converge on Arkansas over medical AI education, advancement

Data scientists and software engineers at the University of Arkansas have been awarded more than $140,000 by the NIH to educate biomedical researchers on the growing role of AI in big-data analytics.

August 2, 2022

$30K up for grabs in new AI challenge from RSNA

Americans suffer more than 1 million fractured vertebrae every year. RSNA’s latest AI competition may help advance precision detection and classification of this unfortunately common source of pain and potential debilitation.

July 29, 2022

Noteworthy FDA approvals of the week: Ceiling-mounted CT angiography, AI for brain-adjacent bleeds

Two companies serving medical imagers just had products cleared for marketing in the U.S.

July 28, 2022

AI cardiology vendor Cleerly offers an FDA-cleared coronary artery soft plaque assessment.

Cardiology startup raises $192M for AI-powered imaging assessments

The company has now raised $248M in total to help develop, commercialize and market its FDA-cleared technology.

July 26, 2022

Examples of new cardiac CT technologies at the 2022 SCCT meeting. Top left clockwise, realistic 3D rendering inside the heart, the GE Revolution Apex scanner, Cleerly's AI automated soft plaque assessment, and CT strain imaging from Medis. #SCCT #SCCT2022 #YesCCT #CTA #CCTA, new computed tomography technology

PHOTO GALLERY: Cardiac CT advances at SCCT 2022

View a variety of images from the 2022 Society of Cardiovascular Computed Tomography (SCCT) meeting in Las Vegas.

July 25, 2022

AI-generated coronary tree from a patient's CT scan showing a color code of areas of interest for plaque burden from the Cleerly software shown at SCCT 2022.

VIDEO: Why plaque composition CT imaging may be the future of cardiology

Former European Society of Cardiology president Prof. Jeroen Bax explains the difficulty in quantifying these plaques manually and how artificial intelligence may change this to allow rapid, detailed quantitative analysis.

July 22, 2022

Around the web

Cardiovascular Business

Medicare drops AUC requirement for advanced imaging, ASNC celebrates

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

Cardiovascular Business

Cardiology, radiology groups urge insurance provider to rethink imaging policy

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

Cardiovascular Business

Radiology AI company gains FDA clearance for new CT offerings focused on PE, stroke

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