JVCKENWOOD to Exhibit at ECR 2022

The CL-S1200 medical image display monitor for breast imaging will be exhibited. A wide screen with a high resolution of 12 million pixels, the highest in the industry*¹, supports not only two windows side-by-side for mammography images, but also simultaneous display of CT, MRI, ultrasound, pathology, and various other images. A variety of medical images can be efficiently displayed on a single unit, contributing to increasing the work efficiency, reducing the fatigue on doctors who need to read numerous diagnostic images, and saving working space.

The CL-S600 medical imaging monitor for PACS*², which achieves a 6-megapixel resolution equivalent with two 3-megapixel monitors on a single unit, will be exhibited. With clear visibility come from a high brightness of 1300 cd/m2 and high contrast ratio of 2000:1. Integrated Turbo luminace function which can boost screen luminace and contrast for 30 seconds will inclrease visibility, contributing to finding out low contrast lesions.

The CL-R813, a new medical image monitor for PACS*². The 32-inch-wide screen area supports simultaneous display of CT, MRI, CR/DR, and various other medical images. It is also possible to freely lay out various application windows, such as viewers, reports, and feedback of AI, on a single screen. Additionally, displayed image comply with the DICOM Part 14 gradation curve, which is required for medical image display. Finally, it features a slim, lightweight design with a narrow bezel, providing a comfortable desktop workspace.

PM Medivisor Cloud is a cloud-based quality control solution that continuously collects, analyzes and accumulates the operating status of monitors installed in various places in the hospital and provides it to the administrator. Since the quality status of the monitor can be checked both inside and outside the hospital, it becomes maintenance-free, greatly improving the efficiency of management work and reducing maintenance costs. In addition, remote management via the Internet can be securely performed via a secure communication protocol. We are proposing solutions that address the challenges of labor shortages and the need for remote medical image reading in the healthcare field, accelerated amid the COVID-19 pandemic.