CancerFax

Japanese artificial intelligence system diagnoses colorectal cancer in 0.3 seconds

Sai SreeWritten by Sai SreeMedically ReviewedUpdated May 7, 20203 min read
Japanese artificial intelligence system diagnoses colorectal cancer in 0.3 seconds
In this article
  1. AI-Powered Endoscopy: Real-Time Colorectal Cancer Detection
  2. How CancerFax Helps

AI-Powered Endoscopy: Real-Time Colorectal Cancer Detection

Japanese researchers have developed an artificial intelligence system that extends an endoscope with a magnification of 500 times into the patient ‘s intestine. The artificial intelligence system can identify whether there is malignant change in the large intestine polyp in the endoscope within 0.3 seconds, according to real-time judgment results The doctor can decide whether to operate in real time.

Compared with the past, it takes a week to make a diagnosis, and now the system can immediately determine whether to remove it, which greatly improves the efficiency of diagnosis and treatment. During the development of this system, more than 60,000 tumor cell pictures were used to build a database. These pictures came from more than 3,000 patients with colorectal cancer diagnosed in 5 hospitals in Japan. By analyzing and deep learning the tumor images in the image database, the system has learned the automatic recognition function of cancer. Not only improve the diagnosis efficiency, but also improve the accuracy.

In Japan, colorectal cancer is the second most malignant tumor after death from lung cancer. Early detection is the key to improving the level of treatment. This artificial intelligence achievement in Japan can detect the presence of cancer in large intestine polyps in less than a second. At present, this artificial intelligence colorectal cancer diagnostic system has been clinically tested in 6 hospitals in Japan, and is expected to obtain the license from the relevant Japanese pharmaceutical regulatory authorities in 2018.

How CancerFax Helps

CancerFax is a specialist cancer access and patient-navigation platform. We help patients and families understand their options, organise medical records, coordinate hospital communication, and support cross-border treatment planning where appropriate.

description
Medical Record Review

We help collect and organise reports, scans, pathology, biomarker results, and treatment history for structured case review.

verified_user
Eligibility Coordination

We communicate with hospitals or trial teams to assess whether a case may be suitable for further screening.

hub
Hospital Communication

We support appointment coordination, document submission, translation, and direct communication with international departments.

flight
Travel & Admission Support

For international patients, we help with practical coordination — travel planning, hospital admission guidance, and local support.

explore
Treatment & Trial Navigation

If this option is not suitable, we help explore other relevant treatments, clinical trials, or advanced care pathways.

support_agent
End-to-end Coordination

From inquiry through to follow-up, our coordinators provide a single point of contact for the family.

CancerFax does not guarantee treatment access, eligibility, or clinical outcome. Our role is to help patients access accurate information, structured review, and appropriate specialist pathways.

Sai Sree

About Sai Sree

✓ Reviewed for medical accuracy by the CancerFax review panel.

Medical Disclaimer

This article is for educational purposes only and should not replace medical advice, diagnosis, or treatment from a qualified oncology specialist. Every patient's case is different. Treatment decisions should always be made after a review of complete medical records by the treating medical team.

Treatment availability, eligibility, timelines, and access can change. Any clinical trial participation depends on detailed review and approval by the trial hospital or investigator.