NEW

FDA Updates Information on Respirator Decontamination Systems

The U.S. Food and Drug Administration (FDA) is reissuing the Emergency Use Authorizations for decontamination systems that are authorized to decontaminate compatible N95 respirators for use by healthcare personnel (HCP) to prevent exposure to pathogenic biological...

First Patient Treated in Clinical Trial of BCL System

CairnSurgical, Inc., an innovator striving to make breast cancer surgery more precise, announced that the first patient has been treated in its U.S. pivotal trial of the Breast Cancer Locator (BCL) System at Massachusetts General Hospital.

Rush Oak Park Hospital Adopts Surgical Workflow Technology, ExplORer Surgical, Increasing Team Confidence and Reducing OR Challenges

ExplORer Surgical, the only comprehensive intraoperative case support and workflow platform, has reinvented the way surgical support teams prepare and complete effective surgeries with two-way video for case support and remote proctoring to create a digitized playbook.

AORN Releases 2021 Guidelines for Perioperative Practice

The Association of periOperative Registered Nurses (AORN) has published the 2021 Guidelines for Perioperative Practice with six revised guidelines.

NEC Releases ‘WISE VISION Endoscopy’ in Europe and Japan

NEC Corporation has announced the development of “WISE VISION Endoscopy,” an AI diagnosis-support medical device software for colonoscopies, which is being released in Japan and is expected to soon be available in Europe. This software connects with existing endoscopy equipment as part of using AI to automatically mark potential lesions from images taken during endoscopic procedures.

Colorectal cancer is the most common cancer in Japan[1], and the second most common in Europe[2]. Colorectal cancer originates from precancerous lesions (colorectal neoplastic polyps) and it is possible to suppress the progression to cancer by detecting and removing lesions at the polyp stage during endoscopy procedures. However, polyps need to be found with the eye of an endoscopist and are often difficult to detect because of their size and shape, causing approximately 24%[3] to be missed, thereby delaying detection.

NEC has been working with the National Cancer Center Japan since 2016 to contribute to resolving this issue. NEC has now developed software that can automatically mark potential lesions based on the use of AI to learn from endoscopic images of more than 10,000 lesions, as well as learning from the observations of expert physicians[4]. This software was developed by applying NEC’s AI technologies, “NEC the WISE,” and its face recognition technology, which is highly evaluated by the National Institute of Standards and Technology[5] in the United States.

Software features include the following:

WISE VISION Endoscopy Graphic 1

1. Compatibility with the endoscopy systems of three leading companies and usability in any examination room

This software can be connected to endoscopes from three leading endoscope manufacturers[6]. By simply connecting an existing endoscope to a monitor and terminal equipped with the software, users can start using it immediately. Moreover, since it is compatible with various endoscopes and easy to prepare, systems can be transferred within different rooms and used efficiently wherever there is an examination.
(Shown in Graphic 1)

WISE VISION Endoscopy Graphic 2

2. High visibility and flexible interface

The system marks the lesion candidates with a notification sound and marking. Notification sounds, volume and marker colors can be customized at any time to the user’s preference. The system can be operated intuitively with a high-visibility user interface, allowing users to smoothly proceed with examinations.

Going forward, as a company that creates social value, NEC aims to promote a healthy, and sustainable society, where individuals can thrive from the utilization of advanced IT technologies.
(Shown in Graphic 2)

For more information, visit NEC at www.nec.com.


[1] According to statistics from the National Cancer Research Center Japan (Japanese text only)
https://ganjoho.jp/reg_stat/statistics/stat/summary.html

[2] According to United European Gastroenterology
https://ueg.eu/p/78#

[3] Rex DK, Cutler CS, Lemmel GT, et al. Colonoscopic miss rates of adenomas determined by back-to-back colonoscopies. Gastroenterology. 1997;112(1):24-28

[4] Yamada M, Saito Y, Imaoka H, et al. Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy. Sci Rep. 2019;9:14465

[5] NEC Face Recognition Technology Ranks First in NIST Accuracy Testing
https://www.nec.com/en/press/201910/global_20191003_01.html

[6] Connectivity and operations have been confirmed with the following endoscopes
– Olympus EVIS LUCERA ELITE Video System Center CV-290
– FUJIFILM ELUXEO video processor VP-7000
– PENTAX Medical OPTIVISTA EPK-i7010 video processor

Previous

Next

Submit a Comment

Your email address will not be published. Required fields are marked *

X