January 19, 2021 — Radiation exposure and side effects related to iodine contrast agents are the two main concerns of contrast enhanced computed tomography (CT) examinations. A new study published in European Radiology evaluates the image quality of low iodine concentration, dual-energy CT (DECT) combined with a deep learning–based denoising technique with ClariCT.AI for pediatric abdominal CT, compared with that of standard iodine concentration single-energy polychromatic CT (SECT). ClariCT.AI is an AI-based CT image denoising solution from ClariPi, Inc. The study reported that the use of a deep learning–based denoising technique was able to produce the same overall image and diagnostic quality of lesions despite a reduced iodine dose and decreased radiation dose. According to the study, the advantage of the low-concentration iodine use in conjunction with DECT and deep learning-based denoising was two-fold. The results show that the CT dose index and total iodine administration in DECT were respectively 19.6% and 14.3% lower than those in SECT.
GE Healthcare introduced its artificial intelligence (AI) automation features on its Voluson Swift ultrasound platform at the 2020 Radiological Society of North America (RSNA) virtual meeting. Features of this system include semi-automated contouring, auto identification of fetal anatomy and positioning on imaging. AI is seeing increasing integration in ultrasound systems from numerous vendors.