Erik L. Ridley[email protected]Radiation Oncology/TherapyAI can optimize treatment of glioblastomaAn artificial intelligence (AI) algorithm can reduce dosing levels for chemotherapy and radiotherapy for glioblastoma without affecting the effectiveness of the treatments, according to a study being presented this week at the 2018 Machine Learning for Healthcare conference at Stanford University.August 13, 2018AIAI algorithm can triage head CT exams for urgent reviewAn artificial intelligence (AI) algorithm can prescreen head CT exams for a range of acute neurological events such as stroke, hemorrhage, or acute hydrocephalus, enabling triage of cases that require urgent review by radiologists, according to research published online August 13 in Nature Medicine.August 13, 2018AINew opportunities emerge for AI in medical imagingThe promise of artificial intelligence (AI) for medical image analysis may draw most of the attention, but AI has the potential to enhance the entire medical imaging process and enable "intelligent" imaging systems, according to market research firm Frost & Sullivan.August 12, 2018MRIAI characterizes complex mood disorders from fMRIAn artificial intelligence (AI) algorithm can distinguish patients with major depressive disorder from those who have bipolar disorder based on an analysis of functional MRI (fMRI) studies, according to research published online August 6 in Acta Psychiatrica Scandinavica.August 8, 2018AICan 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, 2018Previous PagePage 97 of 389Next PageTop StoriesInterventionalLung biopsy before surgery linked to cancer recurrenceThe findings confirm concerns about “tumor cell spillage” during the procedure.CTAbnormal CT-FFR results translate to up to 7 years of cardiovascular riskMolecular ImagingPSMA-PET/CT reporting varies widely in the U.S.Womens ImagingAuditing preop MRIs is feasible under upcoming BI-RADS recommendationsSponsor ContentRegister Now: Breaking Barriers in Breast Imaging Webinar
