AuntMinnie.com staff writersInterventionalSIR updates practice guidelines for chronic pelvic pain in womenUp to one-third of women with chronic pelvic pain may have a venous etiology.March 6, 2026Digital X-RayCognita CXR AI secures U.S. FDA breakthrough device designationThe software analyzes chest x-rays and generates preliminary findings that licensed radiologists review and finalize.March 6, 2026CTHarrison.ai wins U.S. FDA clearance for acute infarct triageThis is the company's ninth 510(k) submission.March 6, 2026Practice ManagementACR secures HITRUST r2 certification for accreditation, registry platformsThe ACR has earned Health Information Trust Alliance (HITRUST) r2 certification for its ACRedit Plus accreditation platformMarch 5, 2026AssociationsARRS bestows 2026 Distinguished Educator AwardThe American Roentgen Ray Society (ARRS) has bestowed its 2026 Distinguished Educator Award on Judy Yee, MD.March 5, 2026Radiation Oncology/TherapyMicrobot Medical backs AMA policy on radiation protectionMicrobot Medical supports a new American Medical Association (AMA) policy on radiation protections for healthcare professionals.March 5, 2026AIViz.ai highlights study results presented at ISC 2026VizAIViz.AI is touting a study that suggests its technology reduces door-in-door-out time for large vessel occlusion stroke patients.March 5, 2026Womens Imaging3 health systems release open-source DBT datasetiMerit, Segmed, and Advocate Health have released an open-source, annotated DBT dataset to support AI tool development.March 5, 2026AISectra to acquire AI radiology developer OxipitSectraSectra will acquire Oxipit, a developer of AI tools for x-ray and CT analyses.March 5, 2026Practice ManagementAdvaMed urges Senate to pass SBIR/STTR reauthorizationAuthorization for Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) lapsed September 30, 2025.March 4, 2026Page 1 of 240Next PageTop StoriesCardiac ImagingECR: Cardiac imaging is at the 'heart' of precision medicineThe heart beats 2.5 billion times in a person's lifetime and "never has a day off," presenter Michelle Williams, PhD, noted.UltrasoundUltrasound MinnieCast, Episode 3: Focused ultrasound brings hope to patientsWomens ImagingECR: LLMs help patients understand breast imaging reportsCTDL segmentation of chest muscle volume shows promise for COPD patientsCareersHPI: Workforce attrition higher in radiology subspecialties
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=167&q=70&w=250)
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)
