Computed Tomography

Computed tomography (CT) is a fast and accurate imaging modality often used in emergency settings and trauma imaging. CT scans, with or without (or both) iodinated contrast are frequently used to image the brain, chest, abdomen and pelvis, but also have post-imaging reconstructive capabilities for detailed orthopedic imaging. It is now a standard imaging modality in emergency rooms to quickly assess patients. CT uses a series of X-ray images shot as the gantry rotates around the patient. Computer technology assembles these into into a dataset volume than can be slices on any access, or advanced visualization software can extract specific parts of the anatomy for study. Find more content specific to cardiac CT.

Over the Shoulder Shot CT Brain Scan Images

Lower shift volumes lead to significantly fewer errors for neuroradiologists

When case volumes climb to 67-90 studies, error rates were 226% higher than those tackling 19 or fewer cases during their shift, experts reported. 

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Use of CT angiography has surged in recent years, with a corresponding drop in MRI

Ease of access, lower cost, and shorter scan time, especially for emergent clinical indications such as acute stroke, all may be fueling CTA volumes. 

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FDA clears AI for breaking down lung CT images into subsegments

LungQ guides pulmonologists as they work to access peripheral locations within the lungs.

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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.

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.

Cancer center reduces urgent requests for CT reports by 60%

Memorial Sloan Kettering Cancer Center improved efficiency by adopting an automatic assignment system.

CT images reveal more details about Cincinnati murder

Hamilton County coroner and radiologist Lakshmi Sammarco, MD, used scans and DNA tests to confirm that scattered body parts belonged to the same victim.