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. 

ASRT granting $400K in scholarships to radiology students

Founded in 1984, the American Society of Radiologic Technologists Foundation is hoping to raise big money for the next generation of imaging professionals.

Rob deKemp, PhD, FASNC, University of Ottawa, Canada, explains new nuclear cardiac imaging dose lowering techniques for PET and SPECT.

How to achieve much lower radiation doses in cardiac nuclear imaging

The radiation doses associated with CT have decreased significantly, leaving nuclear cardiology as the modality with the highest doses in all of cardiac imaging. Rob deKemp, PhD, talked to us about some of the many ways imagers can work to address this issue.

ovaries ovarian cancer

Lab receives $30M funding to illuminate lung and ovarian cancers

On Target Laboratories will use the funding to expand the market reach of its molecular imaging agent.

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System that makes brain and spinal surgeries more precise cleared by FDA

With the help of a CT or MR image, the SmartFrame OR and its ClearPointer optical navigation wand together provide guidance for instrument placement during neurological procedures.

chatgpt for patient questions about radiology

ChatGPT IDs incidental findings on CT images

New research suggests ChatGPT may be able to improve radiology workflows by performing an initial review of CT images.

Leading vendors unite to improve early detection of disease with endoscopic ultrasounds

Canon Medical Systems and Olympus are collaborating for global adoption of proprietary ultrasound systems.

Professor Keith Channon, MD, MB ChB, FRCP, interventional cardiologist and the British Heart Foundation Professor Cardiovascular Medicine at the University of Oxford, and a co-founder of Caristo, explained an AHA 2023 study where AI identified coronary inflammation as a major silent risk factor and a strong predictor of heart attack risk.

AI model targets inflammation, helping cardiologists find 'invisible' heart patients

By focusing more on inflammation, cardiologists can ensure they are identifying patients who need help before it's too late.

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Ultrasound interpretation AI integrated into cloud-based PACS

A partnership between two developers aims to reduce ultrasound reading time.