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.

AI automation could 'revolutionize' Crohn's Disease severity CT assessments
Machine learning models could help create a more standardized, reproducible and efficient way of grading Crohn’s disease severity in the small bowel based on CT imaging.
New publicly available deep learning model for CT organ segmentation in children shows promise
The model was developed and validated specifically for liver, spleen and pancreas segmentation, and outperformed a publicly available segmentation model already in use.
New research offers reminder of why ChatGPT should not be used for second opinions
Although these tools have proven themselves valuable in numerous settings, they must be used with caution, especially by patients and nonradiologist providers who may be seeking clarification on imaging reports.
GPT-4 confidently struggles on radiology exam
Image-based questions were significantly more challenging for the large language model to answer, despite the latest version now being capable of accepting image prompts.
AI improves CT assessments, boosts care for real-world heart patients
Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

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Less experienced radiologists benefit from deep learning models when scouting for intracranial aneurysms

Deep learning models can increase reader accuracy while simultaneously decreasing interpretation times when evaluating imaging for intracranial aneurysms.

August 8, 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

Heartbeat Health Caption Health AI echocardiogram

Caption Health, Heartbeat Health partner to deliver AI-powered echocardiograms

Steve Cashman, Caption Health’s CEO, described the partnership as “an ideal coupling of patient-centric services.”

August 2, 2022

Experts concede that 'overly optimistic' AI imaging studies do not translate to clinical practice

An interpretable AI tool that detects COVID-19 on chest radiographs underwhelmed researchers in a recent analysis published in Radiology: Artificial Intelligence.

July 29, 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

A ‘powerful’ tool: Commercially available AI significantly outperforms radiologist reads for trauma imaging

The software was put to the test on nearly 5,000 trauma radiographs, assessing for the presence of fractures, dislocations, elbow effusions and focal bone lesions. In some cases, it outperformed radiologists by as many as 82 points.

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

AI improves CT assessments, boosts care for real-world heart patients

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Cardiovascular Business

AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.

Radiology Business

Google teams with Bayer to address radiologist burnout via AI

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