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 automation could 'revolutionize' Crohn's Disease severity CT assessments
Machine learning models could help create a more standardized, reproducible and efficient way of grading Crohn’s disease severity in the small bowel based on CT imaging.
New publicly available deep learning model for CT organ segmentation in children shows promise
The model was developed and validated specifically for liver, spleen and pancreas segmentation, and outperformed a publicly available segmentation model already in use.
A significant amount of imaging orders in emergency settings are inappropriate
A general lack of awareness pertaining to ACR appropriateness criteria could be a driving factor behind the misguided requisitions, authors of a new analysis suggest.
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.
ChatGPT shows 'significant promise' in guiding contrast-related decisions
This could be especially helpful when timely clinical decisions relative to the use of a contrast agent need to be made.

Conventional imaging did not detect the abnormalities, which MRI scans identified up to one year after infection.

Study examines outcomes of resection for ground-glass adenocarcinomas in the lungs

Researchers from Harvard Medical School looked into clinical findings for three types of nodules seen across 469 patients.

February 9, 2024

Supply crunch forces ED to develop contrast use mitigation protocol for PE

The protocol led to a reduction in CT scans without sacrificing diagnostic accuracy.

February 7, 2024

Kale Turtle Cook Museum of Natural Science

Rare sea turtle with infected shell undergoes CT scan

The procedure is medically necessary, but it also provides scientists insights into the Kemp’s ridley species of sea turtle.

January 31, 2024

$Hip strain injury fracture broken hip$

AI model predicts hip fractures in a short-term timeframe

Current risk assessments are unable to calculate the likelihood of a near-future fracture after a patient breaks their hip.

January 31, 2024

Study examines use of MSOT for detecting pancreatic cancer, improving surgery

The University of Oklahoma Health has earned a $3 million grant from the National Cancer Institute for this project.

January 30, 2024

FDA clears AI for breaking down lung CT images into subsegments

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

January 22, 2024

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.

January 16, 2024

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.

January 15, 2024

Around the web

Cardiovascular Business

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.

Cardiovascular Business

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.

Radiology Business

Google teams with Bayer to address radiologist burnout via AI

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.