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.

Arzhang Fallahi, MD, and David Hsi, MD, discussing imaging-based aortic stenosis screening

Q&A: Cardiologists explore the potential impact of a screening program for aortic stenosis

We already screen patients for breast cancer and lung cancer on a regular basis. Why not establish screening programs for aortic stenosis?

September 11, 2023

AI proves a qualified second reader for screening mammography

According to one radiologist, the continued success of AI could make second reads for screening mammograms a thing of the past.

September 8, 2023

Purvi Parwani, MD, director of echocardiography, Loma Linda University Medical Center, explains the trend where heart failure imaging guidelines are driving a rising use of mixed multimodality imaging. #ASE #ASE2023

Multimodality imaging helps cardiologists manage heart failure patients—with an assist from AI

Purvi Parwani, MD, discussed the trend toward multimodality imaging for heart failure management. All modalities have their own weaknesses, she explained.

September 7, 2023

radiology twitter social media influencers

Social media influencers help build a ‘positive, connected basis for radiology’s thriving future’

Here’s a profile of the quintessential social media influencer working in radiology: male, physician, subspecialized, academic and/or administrative leader ...

August 30, 2023

Combining AI models leads to better breast cancer risk assessments

A new study out of Denmark suggests two advanced artificial intelligence algorithms are better than one.

August 30, 2023

MRI results affected by movement? MIT researchers have an AI-powered solution

An MRI's sensitivity to movement during scans often leads to image artifacts, risking misdiagnoses and redundant scans. But a new deep learning model may be able to compensate.

August 25, 2023

Example of the Siemens Origin AI-automated cardiac ultrasound system performing auto contours and measurements after the AI sees what is being imaged and the operator hits the AI button on the console. The system is designed to be an assistant to the operator and knows the next steps in the exams.

Siemens Healthineers unveils 'truly revolutionary' AI-enabled echo system

The new-look system is able to evaluate a situation and anticipate what users may need next.

August 25, 2023

artificial intelligence robot evaluates healthcare data. Novo Nordisk announced a new collaboration with Valo Health, a healthcare technology company focused on using artificial intelligence (AI) technology to identify new drug treatments for cardiovascular disease (CVD).

Rad AI announces new artificial intelligence-powered software for radiology reports

After previewing the new software in September, Rad AI will make it commercially available throughout the United States at RSNA 2023 in Chicago.

August 23, 2023

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.