Erik L. Ridley[email protected]AICan radiomics detect pancreatic ductal adenocarcinoma?Radiomics and a machine-learning algorithm can differentiate pancreatic ductal adenocarcinoma from a normal pancreas on CT studies, potentially enabling earlier diagnosis of this highly lethal cancer, according to research published online April 23 in the American Journal of Roentgenology.April 24, 2019AIAI can identify, classify prostate cancer on mpMRIAn artificial intelligence (AI) algorithm called FocalNet was able to identify prostate cancer on multiparametric MRI (mpMRI) nearly as well as experienced radiologists and also predicted the lesion's aggressiveness, according to research presented at the recent IEEE International Symposium on Biomedical Imaging in Venice, Italy.April 17, 2019AIAI can spot malpositioned catheters on pediatric x-raysAn artificial intelligence (AI) algorithm can automatically analyze pediatric x-rays to identify patients with incorrectly positioned catheters, potentially enabling these studies to be triaged for priority review by radiologists, according to research published online April 10 in the Journal of Digital Imaging.April 16, 2019AIThe 5 things radiology needs to speed up AI useWhat's needed to accelerate advances in artificial intelligence (AI) in radiology? New image reconstruction methods, automated image labeling and annotation techniques, pretrained model architectures, explainable AI, and imaging data aggregation are all needed, according to a special report published April 16 in Radiology.April 15, 2019UltrasoundUltrasound CADx software can stratify thyroid nodulesAlthough it doesn't perform as well as a sonography expert, ultrasound computer-aided diagnosis (CADx) software can still be useful for stratifying thyroid nodules by their risk of malignancy, according to research published online April 11 in the American Journal of Roentgenology.April 14, 2019AI5 ways artificial intelligence can augment cliniciansArtificial intelligence (AI) can augment the work of clinicians in five key areas: prognosis, diagnosis, treatment, workflow, and expanding the availability of clinical expertise, according to a review article published April 4 in the New England Journal of Medicine. But key challenges remain.April 4, 2019AIFDA eyes new framework for AI that continuously learnsThe U.S. Food and Drug Administration (FDA) has announced an effort to develop a new regulatory framework for medical artificial intelligence (AI) algorithms that reflects the fact that these tools are continuously learning and evolving from experience gained in real-world clinical use.April 2, 2019Radiation Oncology/TherapyAI improves contouring accuracy for radiation oncologyAn artificial intelligence (AI) algorithm can provide accurate, fast, and automated contouring of primary tumor volumes on multiparametric MR images of nasopharyngeal carcinoma patients, potentially improving outcomes from radiation therapy, according to research published online March 26 in Radiology.April 1, 2019AIIs blockchain ready for radiology?Blockchain technology could have many exciting applications in radiology and also facilitate the development of artificial intelligence algorithms. But key hurdles remain in the way of adoption of the technology, said Dr. Woojin Kim, who recently spoke in a webinar held by the Society for Imaging Informatics in Medicine.March 31, 2019AIAI algorithm identifies pacemaker type on radiographsArtificial intelligence (AI) software can quickly identify cardiac rhythm devices such as pacemakers on x-ray images, which could possibly speed up the diagnosis and treatment of emergent patients with faulty devices, according to research published online March 27 in JACC: Clinical Electrophysiology.March 27, 2019Previous PagePage 81 of 389Next PageTop StoriesAIU.S. FDA may need to clarify SaMD validation standardsIn a video interview, a Dana-Farber Cancer Institute expert describes what the "rigor spectrum" is in validation study designs.Molecular ImagingPSMA-PET/CT may replace NaF-PET/CT in advanced prostate cancerWomens ImagingPreop breast MRI improves surgical planning, but use disparities remainWomens ImagingFIGO classification from MRI leads to moderate agreement among radsSponsor ContentRegister Now: Breaking Barriers in Breast Imaging Webinar
