NTT, Olympus Begin Joint Demonstration Experiment of Cloud Endoscopy System

They will also explore the use of other medical devices on the cloud.

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NTT Corporation (NTT) and Olympus Corporation (Olympus) today announce that the two companies have jointly begun a demonstration experiment of a cloud endoscopy system that enables image processing on the cloud.

This cloud endoscopy system utilizes Olympus' advanced technology for endoscopes to perform image processing, which has been conventionally processed within the endoscopic equipment,  on a remote cloud. This has been difficult to achieve with conventional network technology. NTT's IOWN APN technology makes it possible to process images in real-time on the cloud. Through this demonstration experiment, the two companies will establish a reference model for the commercialization of the cloud endoscopy system, overcome the current limitations of processing performance of endoscopic equipment, improve maintainability, and provide a flexible and rapid market response to the market.


An endoscope is a medical device in which a flexible tube is inserted into the natural openings of the body to perform an examination and obtain tissue samples. Instances where endoscopes can be utilized are increasing year by year due to the equipment’s low level of invasiveness and high level of safety, and the technology is becoming increasingly sophisticated.

When the endoscope was first introduced, it was a revolutionary device that allowed users to view the inside of the body in real time. Since then, it has progressed even further by supporting high-definition images, introducing Narrow Band Imaging (NBI) using optical technology, and enabling the collection of samples simultaneously with observation. Recently, advanced support functions have been introduced, such as displaying potential lesions to the operator from the images taken by the endoscope, contributing to the early detection of lesions with greater safety and certainty.

Currently, endoscopes have performance and maintenance limitations. In addition, it is expected that more cases in the future will require flexible feature improvements and updates based on new user needs, such as real-time remote diagnosis and treatment. Therefore, there is discussion on cloud computing endoscopes, in which some functions with a high processing load, such as image processing, can be done in the cloud.

By sharing the processing load with GPUs on the cloud built-in data centers, users can receive the latest functions through software updates on the cloud and enable real-time remote diagnosis and treatment by sharing video information among multiple hospitals.

In addition to transitioning existing systems to the cloud, major network-related technical challenges include:

  • Realizing a high-speed, low-latency network with no delay between the endoscope and the cloud. Conventional networks require a long data transfer time which is unfavorable for the physicians.
  • Ensuring the high-quality connectivity required for medical endoscopes by promptly detecting abnormalities, such as network failures that would make the cloud unavailable, and providing minimum functions locally in such cases (fallback function).
  • Implementing advanced security measures on the data transfer path that are difficult even for quantum computers to decode to transmit information safely and accurately.

Details of the demonstration experiment

To realize a cloud endoscopy system, NTT and Olympus have started demonstration experiments centered on IOWN APN to solve technical problems in the network. In this demonstration experiment, the companies will construct an experimental environment in which an actual endoscope and a GPU server are connected by IOWN APN, using it as a starting point to carry out the following verifications:

  • Verify that the processing delay associated with the cloud does not occur by connecting the endoscope and the server simulating the cloud via an optical transmission path with high speed and low latency.
  • Verify that the system can achieve the high reliability and availability required for medical devices, including fallback in the event of a network failure.
  • Verify that information security can be ensured by encrypting information between the endoscope and the cloud using secure optical transport network technology3, which is difficult to attack even using quantum computers.

Based on the knowledge gained from the demonstration experiment, NTT and Olympus will jointly consider the commercialization of the cloud endoscopy system. Furthermore, NTT will establish a reference model for a network for medical devices that will solve various technical problems when medical devices are brought to the cloud, while Olympus will contribute to the establishment of an optimal network for the cloud endoscopy system and its reference model.

Roles of each company

(1) NTTNTT has been providing high-speed, low-latency networks to its customers and promoting the IOWN concept, including the IOWN APN, which connects sites with an extremely high-capacity end-to-end optical path. In this demonstration experiment, the IOWN APN technology is utilized to verify and optimize the network necessary for the cloud endoscopy system.

(2) OlympusOlympus has the top market share in the global endoscope field and is promoting the concept of a cloud endoscopy system, in which the sophisticated functions of endoscopes are computed on the cloud. In this demonstration experiment, Olympus will provide the specific requirements and evaluation items for the cloud endoscopy concept, as well as the endoscopic equipment for the demonstration experiment.


Through this demonstration experiment, the two companies will confirm the feasibility of the cloud endoscopy system and help address social issues such as expanding access to advanced medical care. In addition, NTT will consider expanding use cases, such as promoting the use of other medical devices on the cloud, based on the knowledge gained from the demonstration experiment. Olympus will apply the results of this study and continue to study advanced technologies using IOWN technology, such as the cloud endoscopy system, that contribute to solving customer needs or problems. 

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