Erik L. Ridley[email protected]AICan AI best quantitative MRI in prostate lesions?Quantitative measurement of prostate MRI exams can yield better lesion characterization performance than just qualitative assessment by radiologists, German researchers have found. But can machine learning do even better? At least for now, the answer is no, according to a study published online July 31 in Radiology.August 1, 2018CTCan AI enhance the utility of breast conebeam CT?An artificial intelligence (AI) algorithm for breast conebeam CT (CBCT) studies can accurately differentiate between benign and malignant breast lesions, potentially improving the real-world performance of radiologists reading CBCT images, according to a Web-exclusive paper in the August issue of the American Journal of Roentgenology.July 29, 2018UltrasoundCAD software speeds up ABUS interpretationsComputer-aided detection (CAD) software based on deep-learning technology can significantly reduce interpretation times for screening automated breast ultrasound (ABUS) studies without negatively affecting accuracy, according to research published in the August issue of the American Journal of Roentgenology.July 25, 2018CTNEMA warns of collateral damage from China tariffsWhile supporting the Office of U.S. Trade Representative in its actions to defend markets from unfair practices, the National Electrical Manufacturers Association (NEMA) is urging the Trump administration to minimize the collateral damage to U.S. manufacturers from higher tariffs on products imported from China.July 24, 2018AICAR publishes white paper on artificial intelligenceArtificial intelligence (AI) in radiology will enable researchers and radiologists to detect previously unseen information in medical images and better inform clinical decision-making via computer-assisted reporting, according to a new white paper on AI in radiology from the Canadian Association of Radiologists (CAR).July 24, 2018AIWhat is the Twittersphere saying about radiology AI?Tweets that discuss the use of artificial intelligence (AI) in radiology are overwhelmingly favorable and mostly reflect the growing opinion that AI will not eliminate the jobs of radiologists, according to research published online July 23 in Current Problems in Diagnostic Radiology.July 24, 2018ISAuntMinnie.com Imaging Informatics InsiderJuly 15, 2018ISManual review required with speech recognition softwareWith a word error rate that can exceed 7%, clinical documents produced by speech recognition software from dictations need to be reviewed and edited by medical transcriptionists and physicians to avoid significant errors, according to research published online July 6 in JAMA Network Open.July 8, 2018Nuclear MedicineCan deep learning monitor lesions on F-18 NaF PET/CT?Deep learning can classify bone lesions found on F-18 sodium fluoride (NaF) PET/CT exams, potentially enabling monitoring of individual lesions and faster interpretation times, according to research presented recently at the Society of Nuclear Medicine and Molecular Imaging annual meeting in Philadelphia.July 4, 2018AIAuntMinnie.com Artificial Intelligence InsiderJuly 1, 2018Previous PagePage 101 of 393Next PageTop StoriesCTNew benchmark helps monitor cumulative CT radiation doseThe findings highlight the need for systematic dose tracking and rigorous justification of imaging.Radiation Oncology/TherapyStudy questions routine use of radiotherapy after bone surgeryUltrasoundCEUS outshines color Doppler imaging for indeterminate kidney lesionsWomens ImagingWomen's Imaging MinnieCast, Episode 2: Risk-based vs. annual mammography screening, part 1Digital X-RayChest x-rays reveal atherosclerosis in patients undergoing amputations
