Fujifilm Medical Systems USA Inc. announced a joint collaboration with Korean-based medical artificial intelligence (AI) company Lunit Inc. and Salud Digna, one of the largest diagnostic service providers in Mexico with 94 clinics around 24 states. The goal of the collaboration is to have radiologists in a real-world setting evaluate AI technologies for diagnostic imaging being developed by both Fujifilm and Lunit.

Agfa HealthCare announced it has collaborated in delivering a system-wide DoseMonitor automated software implementation, integrated with their IMPAX platform, to the Veterans Integrated Service Networks 19 (VISN 19). Contracts for DoseMonitor have already been awarded by VISN 21 and VISN 23.

Mirada Medical, a leading global brand in medical imaging software, will form part of an artificial intelligence (AI) consortium receiving £50M in new funding from the U.K. government. The funding is part of the government’s drive to expedite the development and adoption of AI in healthcare and the National Health System (NHS).

ScreenPoint Medical has signed a memorandum of understanding (MOU) with Volpara Health Technologies. Volpara will deliver ScreenPoint’s artificial intelligence (AI)-based products to customers as part of its expanding VolparaEnterprise AI cloud ecosystem. Together, the two companies expect to improve the clinical performance of mammography and drive the earlier detection of breast cancer. The partnership will leverage Volpara’s growing footprint in the breast imaging marketplace and will provide an opportunity for ScreenPoint to enter the U.S. market.

GE Healthcare recently launched the Invenia automated breast ultrasound (ABUS) 2.0 system in the United States. This device is the only U.S. Food and Drug Administration (FDA)-approved ultrasound supplemental breast screening technology, according to GE, specifically designed for detecting cancer in dense breast tissue. When used in addition to mammography, Invenia ABUS can improve breast cancer detection by 55 percent over mammography[1] alone.[2]

Big data and artificial intelligence (AI) company Infervision announced the launch of InferRead CT Chest, a new product concept that detects four different conditions with just one set of chest scans, leading to faster and more comprehensive medical diagnoses. Additionally, Infervision introduced a new product concept for fast diagnosis in emergency conditions. The announcements were made at the 2018 Radiological Society of North America (RSNA) conference, Nov. 25-30 in Chicago.

At the 2018 Radiological Society of North America (RSNA) Annual Meeting, Philips announced radiologists at the University of Utah Health are leveraging Philips Illumeo with adaptive intelligence to interact with imaging data to enhance physician expertise and efficiency.  Initial results include productivity benefits in turnaround time, same-day readings and context-driven tool selection.

VigiLanz and Cincinnati Children’s Hospital Medical Center recently announced a collaboration that leverages Cincinnati Children’s research on pediatric nephrotoxic kidney injury and VigiLanz’s capabilities to commercialize a solution for acute kidney injury (AKI) in pediatric patients. Dubbed NINJA, or Nephrotoxic Injury Negated by Just-in-time Action, the solution enables real-time identification and monitoring of patients at risk for AKI due to exposure to nephrotoxic drugs.

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