Radiologists' trust of AI is critical for hospital adoption
January 26, 2022 -- It wasn't that long ago that artificial intelligence (AI) proponents perpetuated the notion of AI marketplaces, believing that they provide a more straightforward way to purchase the technology that would soon lead to widespread adoption in hospital systems. But acquiring AI algorithms has never been the most challenging aspect of AI adoption. Read More
CT radiomics, machine learning predict melanoma survival
January 21, 2022 -- The combination of CT radiomics and machine learning can predict survival of melanoma patients after immunotherapy better than relying only on tumor size data, according to research published online January 20 in JAMA Oncology. Read More
AI reconstruction aids lung nodule detection on ultralow-dose CT
January 20, 2022 -- A deep learning-based image reconstruction algorithm can enable detection of more lung nodules on ultralow-dose CT exams -- at radiation doses comparable to a chest x-ray, according to a study published January 18 in Radiology. Read More
3D printing enhances treatment of kidney stones
January 12, 2022 -- The combination of percutaneous nephrolithotomy and 3D-printed models produced from patient CT scans enables significantly better treatment of complex renal calculi, or kidney stones, according to research published January 10 in Scientific Reports. Read More
Radiomics model distinguishes vertebral compression fractures
January 10, 2022 -- A prediction model based on radiomics and traditional imaging findings was able to differentiate acute and chronic vertebral compression fractures on CT exams, according to research published online January 6 in Academic Radiology. Read More
What MRI sequence is best for brain volumetry?
January 7, 2022 -- Although automated volumetry can be performed on an ultrafast 3D brain MRI sequence, conventional image acquisition still yielded the best results in a study published online January 5 in the American Journal of Roentgenology. Read More
CT radiomics helps to predict pancreatic cancer metastases
January 7, 2022 -- A nomogram that utilizes CT radiomics data can preoperatively predict lymph node metastasis in patients with pancreatic ductal adenocarcinoma (PDAC), according to research published online January 6 in Cancer Imaging. Read More
AI helps predict which DCIS patients need to be upstaged
January 6, 2022 -- Machine-learning models could help predict which patients with ductal carcinoma in situ (DCIS) should be upstaged by using radiomic features from mammograms, according to research published January 4 in Radiology. Read More
SPECT/CT augmented reality may help visualize metastatic melanoma
January 5, 2022 -- Augmented reality visualization of SPECT/CT data can help guide surgeons in identifying sentinel lymph nodes in patients with metastatic melanoma, according to a study published January 3 in Oral Oncology. Read More
AI, whole-body DEXA scans reveal patient age, mortality risk
December 17, 2021 -- An artificial intelligence (AI) algorithm called DXA-Age yielded valuable insight into a patient's future health risks based on analysis of whole-body dual-energy x-ray absorptiometry (DEXA) scans, according to research presented at the RSNA 2021 meeting in Chicago. Read More