Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography,  and the nuclear imaging modalities of PET and SPECT. 

RSS icon
Peter Monteleone, MD, an interventional cardiologist, national director of cardiovascular research at Ascension Health, and assistant professor, UT Austin Dell School of Medicine, explained the use of artificial intelligence (AI) to independently identify an emergency stroke or pulmonary embolism (PE) finding on a CT scan and automatically alert critical care team members. His health system uses this type of AI for earlier activation of the pulmonary embolism response team (PERT).

AI critical care software revolutionizes emergency response

Ascension Health in Texas uses AI that can read CT scans for stroke and pulmonary embolism to activate care teams before the images even get into the PACS.

Stretching may help reduce painful orthopedic issues among echo and interventional lab staff

Orthopedic issues are the biggest work-related injury in cardiology, but this low cost intervention may help.

CDC-funded program improved cardiovascular health of low-income Nebraska women

The WISEWOMAN program proved to be a useful intervention to screen low-income, uninsured women and offer them risk reduction counseling to improve blood pressure, diet and physical activity.

More than 5,600 cardiac ultrasound measurements are now automated using artificial intelligence in the new Siemens Acuson Origin echocardiography system. It is the first echo system to use AI to help automate and anticipate next actions to greatly speed workfor and increase reproducibility between sonographers. Photo by Dave Fornell at ESC 2023

Cardiovascular ultrasound innovations being showcased at ASE 2024 meeting

New cardiac ultrasound advances, from AI to completely study workflow, new 3D/4D catheters, virtual reality simulators, to robot-assisted ultrasound, will be presented on the expo floor of ASE 2024 this weekend in Portland.

Eko Health, the California-based healthcare technology company known for its advanced stethoscopes, has received U.S. Food and Drug Administration (FDA) approval for a new artificial intelligence (AI) offering designed to detect low ejection fraction (EF).

Eko Health raises $41M to expand footprint of its AI-powered stethoscopes

Now that the company has gained FDA approval for multiple algorithms, Eko Health aims to reach as many patients as possible with its AI-powered devices.

Thumbnail

Mammogram findings linked to heightened risk of CVD, type 2 diabetes and hypertension

The new research, presented during ARRS 2024 in Boston, suggests CVD risk models may need to include certain findings identified in routine mammograms. 

Sarah Jane Rinehart, MD, director of cardiac imaging, Charleston Area Medical Center, Charleston West Virginia, as been using the FDA-cleared RoadMap artificial intelligence algorithm from HeartFlow in studies and in clinical used since it was cleared and said it helps cardiologists in several ways. #ACC #ACC24 #ACC2024 #Heartflow #AIhealth

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.

Advanced artificial intelligence (AI) models can evaluate cardiovascular risk in routine chest CT scans without contrast, according to new research published in Nature Communications.[1] In fact, the authors noted, the AI approach may be more effective at identifying issues than relying on guidance from radiologists.

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. 

Displaying 65 - 72 of 483

Around the web

Radiology Business
Key takeaways from RSNA 2024 for AI, CT, MRI and the radiology staffing shortage

Several key trends were evident at the Radiological Society of North America 2024 meeting, including new CT and MR technology and evolving adoption of artificial intelligence.

Health Imaging
Use of AI opportunistic screening in CT for cardiovascular disease

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.