Erik L. Ridley[email protected]MRIAI, radiomics predicts prostate cancer recurrenceA diagnostic model that incorporates artificial intelligence (AI) analysis of radiomics features on multiparametric MRI can predict the likelihood of prostate cancer recurrence prior to surgical treatment, enabling preoperative risk stratification of patients, according to research published in the January issue of EBioMedicine.January 18, 2021Image ProcessingRadiomics, AI can guide NSCLC treatment decisionsRadiomics and artificial intelligence (AI) can be used to guide treatment of non-small cell lung cancer (NSCLC) without the need for a biopsy, according to research presented January 13 at the American Association for Cancer Research Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging.January 15, 2021CTCT radiomics classifies small nodules found in CT lung screeningA machine-learning algorithm can be highly accurate for classifying very small lung nodules found in low-dose CT lung screening programs, according to a poster presentation at this week's American Association for Cancer Research Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging.January 14, 2021AIAuntMinnie.com Artificial Intelligence InsiderJanuary 13, 2021Nuclear MedicineCould AI lower malpractice risk for physicians?Although some legal scholars believe that liability concerns could hinder adoption of artificial intelligence (AI) software in personalized medicine, a new study published in the Journal of Nuclear Medicine found that physicians who follow the technology's advice may actually be shielded from malpractice liability.January 11, 2021AIFDA publishes action plan for medical AI softwareThe U.S. Food and Drug Administration (FDA) has published an action plan for medical artificial intelligence (AI) algorithms that includes a draft guidance, efforts to harmonize good machine-learning practices, and development of methodologies for evaluating algorithms and monitoring their real-world performance.January 11, 2021UltrasoundAI bolsters specificity of screening breast ultrasoundA diagnostic model that incorporates artificial intelligence (AI)-based quantitative analysis can significantly decrease false-positive rates for masses detected on screening breast ultrasound exams, potentially helping to reduce unnecessary biopsies, according to a study published online January 11 in Scientific Reports.January 11, 2021BreastCan AI spot breast cancer years before radiologists?A deep-learning algorithm successfully detected breast cancer on screening mammography, in some cases as early as two years before it was diagnosed during conventional interpretation, according to research published online January 11 in Nature Medicine. The algorithm also performed well with digital breast tomosynthesis (DBT) exams.January 10, 2021Image ProcessingLung involvement portends COVID-19 mortality riskVolumetric analysis of lung consolidation on chest CT scans can be used to predict the risk of COVID-19 patients dying in the hospital and aid in management decisions, researchers from Michigan reported in a study published online January 6 in European Journal of Radiology Open.January 7, 2021Image ProcessingCT/ultrasound fusion enhances ovarian biopsiesA method that combines CT radiomics and real-time CT/ultrasound image fusion can yield more accurate and efficient tissue biopsies in ovarian cancer patients and may, in the future, even facilitate "virtual" biopsies, according to research published online December 14 in European Radiology.January 7, 2021Previous PagePage 51 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
