Amy Thompson[email protected]Enterprise ImagingTeleradiology at an inflection point: Growth potential amid market rivalryAmy Thompson of Signify Research discusses recent trends in the teleradiology market.January 15, 2026AITop 5 predictions for the imaging IT and AI markets in 2025Amy Thompson of Signify Research shares five predictions for the Imaging IT and AI markets in a new column.January 15, 2025PACS/VNAEnterprise imaging: What is the market opportunity beyond radiology?Amy Thompson of Signify Research assesses the future prospects for the enterprise imaging market.October 18, 2023PACS/VNAImaging IT market entering an atypical growth periodA new analysis by U.K. market insights firm Signify Research finds the global imaging IT market has recovered swiftly from the slight downturn experienced in 2020. Driving the growth is spending on tools that aid in COVID-19 care delivery.May 26, 2022Page 1 of 1Top StoriesMRINew MRI scoring system predicts early liver cancer recurrenceThe system performed better for this indication than pathologic analysis-based prognostic models.MRIUnstable brain networks may drive multiple sclerosis fatigueWomens ImagingAI-calculated BAC on mammograms predicts cardiovascular disease in womenCardiac ImagingECR: Cardiac imaging is at the 'heart' of precision medicineUltrasoundUltrasound MinnieCast, Episode 3: Focused ultrasound brings hope to patients
![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)
