Erik L. Ridley[email protected]AIAI outperforms physicians for interpreting chest x-raysAn artificial intelligence (AI) algorithm was able to identify major thoracic diseases on chest radiographs better than even thoracic radiologists could, offering potential to improve the quality and efficiency of clinical practice, according to a study published online March 22 in JAMA Network Open.March 27, 2019AIAre AI algorithms vulnerable to manipulation by users?Artificial intelligence (AI) algorithms in healthcare -- including those used in medical imaging -- are vulnerable to being manipulated by users to produce inaccurate results, and now is the time to consider how to defend against these adversarial attacks, according to an article published March 22 in Science.March 26, 2019AIAI and radiologists: Better together in screening mammoCan an artificial intelligence (AI) algorithm interpret screening mammograms as accurately as expert radiologists can? Yes, but an approach that blends analysis from both AI and radiologists yields the best performance, according to research published March 21 on arXiv.org.March 25, 2019UltrasoundAI characterizes breast masses on ultrasoundAn artificial intelligence (AI) algorithm distinguished between benign and malignant masses on breast ultrasound at a high level of accuracy -- perhaps even exceeding the diagnostic performance of less-experienced radiologists, according to research published online March 19 in the Japanese Journal of Radiology.March 20, 2019AIAI, radiomics can help predict chemotherapy responseArtificial intelligence (AI) and radiomics can identify which non-small cell lung cancer patients are likely to respond to chemotherapy, potentially enabling likely nonresponders to be shifted to alternative treatments, according to research published online March 20 in Radiology: Artificial Intelligence.March 19, 2019MRIAI can predict cognitive development from MRI at birthBy analyzing the white-matter connections of an infant's brain at birth on MRI, an artificial intelligence (AI) algorithm can predict the level of cognitive development at age 2 -- offering the potential to facilitate early interventions in at-risk children, according to research published in the May 15 issue of NeuroImage.March 18, 2019AIWhat do patients think about radiology AI?What do patients know about the use of artificial intelligence (AI) in radiology? While they may not understand much about the technology, they do have some thoughts on the subject, according to a qualitative study published online March 14 in the Journal of the American College of Radiology.March 18, 2019PACS/VNAAuntMinnie.com Imaging Informatics InsiderMarch 17, 2019PACS/VNAMobile App Spotlight: Rads ConsultAuntMinnie.com presents the next article in an ongoing series highlighting notable mobile apps in radiology. In this installment, we take a look at Rads Consult, created to assist referring physicians in appropriately ordering imaging studies, Rads Consult is a radiology-specific clinical decision support (CDS) tool designed for use on mobile devices.March 17, 2019AIAutomated algorithms track adherence to follow-up adviceAn algorithm based on natural language processing was able to analyze radiology reports for text that recommended follow-up imaging, while a second algorithm determined whether patients followed the recommendations, according to an article published online March 12 in the American Journal of Roentgenology.March 14, 2019Previous PagePage 82 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
