Erik L. Ridley[email protected]AIAI enhances detection of pulmonary nodulesAn artificial intelligence (AI) algorithm can improve radiologists' performance for detecting pulmonary nodules on chest CT scans while also speeding up reading times, researchers from China reported in an article published online May 29 in Radiology: Artificial Intelligence.May 30, 2019AITop 4 priorities for AI research in medical imagingBringing radiology artificial intelligence (AI) technology to routine clinical practice will require four major priorities: structured use cases, data sharing methods, validation and monitoring tools, and new standards and data elements, according to a report published online May 28 in the Journal of the American College of Radiology.May 28, 2019MRIDeep-learning model detects cerebral microbleeds on MRIA deep-learning algorithm can accurately detect cerebral microbleeds -- with few false-positive results -- by analyzing brain MR images, according to research published online May 20 in NeuroImage.May 27, 2019AIAI can optimize risk stratification of thyroid nodulesAn artificial intelligence (AI) algorithm improved the specificity of the American College of Radiology Thyroid Imaging Reporting and Data System, while also making the thyroid nodule risk-classification system easier for radiologists to use, according to research published online May 21 in Radiology.May 23, 2019Advanced VisualizationCAD software helps avoid contrast use in MS patientsUsing computer-aided detection (CAD) software, 3D laboratory radiologic technologists can determine if patients with multiple sclerosis (MS) need a contrast agent for their brain MRI exam while they're still in the scanner, according to research posted online May 16 in the Journal of the American College of Radiology.May 22, 2019CTGoogle AI accurately assesses CT lung screening scansAn artificial intelligence (AI) model developed by Google can assess cancer risk on CT lung cancer screening studies as well as, or even better than, experienced radiologists -- potentially enabling automated evaluation of these exams, according to research published online March 20 in Nature Medicine.May 21, 2019BreastISMRM: Personalized breast cancer screening is at handThe advent of better risk assessment methods and more appropriate utilization of imaging modalities like breast MRI open the door for personalized breast cancer screening strategies, according to a presentation by Dr. Christiane Kuhl at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting in Montreal.May 19, 2019MRIISMRM: AI can generate synthetic contrast-enhanced MRIMONTREAL - An artificial intelligence (AI) algorithm can produce high-quality synthetic contrast-enhanced brain MR images, potentially helping to avoid usage of gadolinium-based contrast agents, according to a presentation Thursday at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting.May 16, 2019MRIISMRM: AI paves the way for precision medicineMONTREAL - Artificial intelligence (AI) in medical imaging could open the door for huge advances in healthcare by assisting in diagnosis, the understanding of disease development, and the prediction of patient outcomes, according to a talk at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting.May 15, 2019MRIISMRM: Deep learning moves toward clinical practiceMONTREAL - The number of deep-learning algorithms available for radiology applications is rapidly increasing, and it's time to figure out how to make these tools clinically relevant, according to a presentation Tuesday at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting.May 14, 2019Previous PagePage 79 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
