This type of model has an edge on its 2D and radiomics counterparts, researchers reported.
We scan the top radiology sources so you don’t have to.
From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
-
'Habitat' AI model shows promise for stratifying lung nodule disease risk on LDCT
This type of model has an edge on its 2D and radiomics counterparts, researchers reported.
-
Machine learning plus CT helps assess severity of COPD
A machine-learning model based on chest CT images accurately predicts lung function, which can help clinicians diagnose and assess…
-
Structured CT reporting tool may aid hernia detection after bariatric surgery
In hospital emergency departments, Roux-en-Y gastric bypass (RYGB) patients may present with abdominal pain following surgery.
-
Ultrasound plus MRI helps diagnose pain from rotator cuff tendinopathy
The two modalities complement each other for this indication, wrote a team of Turkish researchers.
-
MRI, CT findings match for assessing epicardial adipose tissue volume
Increased volume of epicardial adipose tissue has been linked to cardiovascular disorders, researchers noted.
-
MRI, CT findings correlate for assessing epicardial fat volume
Increased volume of epicardial adipose tissue has been linked to cardiovascular disorders, researchers noted.
-
PET/CT identifies bone demineralization in breast cancer patients
PET/CT holds promise as an opportunistic osteoporosis screening tool in high-risk oncology subgroups.
-
Investigators test ChatGPT-4 Turbo for radiology AI monitoring
A team from Baylor College of Medicine tested automating a version of the large language model across over 332,000 noncontrast…
-
Investigators test ChatGPT-4 Turbo for radiology AI monitoring
Researchers from Baylor College of Medicine and the Radiology Partners Research Institute tested automating a version of the LLM…