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
James Kirkpatrick, MD, explains the key trends at ASE 2023. #ASE23 #ASE2023

Key takeaways in cardiac ultrasound from ASE 2023

James Kirkpatrick, MD, discussed some of the biggest trends and themes he saw at the American Society of Echocardiography's 2023 annual meeting.

Artificial intelligence automated measurements on an echocardiogram on the Siemens SyngoDynamics cardiovascular imaging and information solution. AI is helping speed workflows and complete tedious tasks faster and more accurately that humans, allowing sonographers and cardiologists to be more efficient. Photo by Dave Fornell

AI technologies to be featured heavily at ASE 2023

Artificial intelligence will be one of the hottest topics at the upcoming American Society of Echocardiography meeting in National Harbor, Maryland. 

Thumbnail

Photon-counting technology offers new opportunities in imaging high-risk CAD patients

Coronary CT angiography is commonly used to assess patients at low or intermediate risk of CAD but is less effective in high-risk patients with an increased presence of coronary calcifications and stents due to the “blooming” effect they have on imaging.

Video of Jon Lindner explaining the use of ultrasound and bubble contrast for therapy.

Cardiac ultrasound could lead to key advances in heart attack care, drug delivery

Jonathan Lindner, MD, offers an update on the use of echocardiography and bubble contrast agents in a therapy role to help revascularize STEMI patients and increase drug and gene delivery.

Malissa J. Wood, MD, associate chief of cardiology for diversity and equity, and co-director, Corrigan Women’s Heart Health Program, Massachusetts General Hospital, spoke with Cardiovascular Business to explains some of the latest data from the iSCAD Registry presented at the American College of Cardiology 2023 meeting. She also discussed how these patients are currently diagnosed and and managed. #SCAD

Management of patients with SCAD

Malissa Wood, MD, co-director of Corrigan Women’s Heart Health Program at Massachusetts General Hospital, shares some of the latest data from the iSCAD Registry.

X-ray photon trajectory during the simulation phantom study from the side and top views. Due to scattering of the X-rays when they hit the lower end of the patient bed, exposure in mainly to the lower body of the interventional echocardiographer performing transesophageal echocardiography. The green lines are the scattered photon trajectories calculated by Monte Carlo simulation in the study.

Radiation exposure in the cath lab: Tracking the impact on interventional echocardiographers

Researchers found that echocardiographers in the cath lab are exposed to high doses of radiation on the right half of their body, especially the waist and lower body. 

New ASE guideline outlines training standards for interventional echocardiography

The American Society of Echocardiography (ASE) released a new guideline document that outlines uniform training standards for interventional sonographers guiding structural heart procedures.

artificial intelligence AI deep learning ChatGPT OpenAI Microsoft Google

AI dramatically reduces radiologists’ rate of missed incidental pulmonary embolism on routine CT

The commercial software also reduced the median detection and notification time for incidental PE in flagged scans from “several days” down to just 1 hour.

Displaying 145 - 152 of 481

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.