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.

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.
AI detects more than half of metastases overlooked by radiologists on CT
Reasons for the gap between AI and rads could include the physician's physical and mental condition at the time of the study, experts noted.
Key trends in radiology at the European Congress of Radiology 2023 meeting
Bhvita Jani, research manager at the healthcare market analysis firm Signify Research, shares noteworthy happenings from the ECR expo floor.
Explainable stroke AI cleared for US sales
The FDA has OK’d a new artificial intelligence platform for quickly diagnosing stroke on unenhanced CT scans.
New algorithm shows how AI could make lung cancer screening more cost-effective
Using CT scans, a deep learning algorithm can recommend optimal lung cancer screening intervals by distinguishing between high-risk and low-risk lung nodules.

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. Representative non-contrast CT slices for two patients (left), with super-imposed segmentations (right). One artificial intelligence (AI) model was used to segment a cardiac mask.

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.

April 23, 2024

AI detects more than half of metastases overlooked by radiologists on CT

Reasons for the gap between AI and rads could include the physician's physical and mental condition at the time of the study, experts noted.

April 11, 2023

The European Society of radiology European Congress of Radiology (ECR) 2023 meeting. Image courtesy of ECR

Key trends in radiology at the European Congress of Radiology 2023 meeting

Bhvita Jani, research manager at the healthcare market analysis firm Signify Research, shares noteworthy happenings from the ECR expo floor.

April 7, 2023

Explainable stroke AI cleared for US sales

The FDA has OK’d a new artificial intelligence platform for quickly diagnosing stroke on unenhanced CT scans.

March 21, 2023

New algorithm shows how AI could make lung cancer screening more cost-effective

Using CT scans, a deep learning algorithm can recommend optimal lung cancer screening intervals by distinguishing between high-risk and low-risk lung nodules.

March 21, 2023

How Secure Is That Scanner?

In a world of networked medical devices, it’s not hard to imagine a radiology-heavy cyberattack that is not only malicious but also ingenious.

June 25, 2019

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