THE 30STARTUPS OF KANSAI

fcuro, Inc. is a Kansai-based medical AI startup whose mission is “Eliminating preventable death by using technologies.” Its flagship product, “ERATS (ER Automated Triage System)” analyzes up to 1,000 full-body CT images in 10 seconds and identifies abnormal findings without missing any, enabling accurate and rapid medical intervention and contributing to improved survival rates. Developed in close collaboration with emergency medical professionals, “ERATS” is a medical AI system based on the “Human-in-the-Loop” concept that assists physicians in image interpretation. By leveraging “ERATS” which enables comprehensive full-body scanning, the company aims to establish a new global standard for trauma care.

“ERATS” an AI system that assists in the interpretation of CT images, supports the treatment of critically injured patients and improves survival rates.
It is well established that the survival rate of critically injured trauma patients drops significantly if appropriate treatment is not initiated within 15 minutes of their arrival at the hospital. However, since many organ injuries cannot be detected by the patient’s appearance alone, whole-body CT scans are performed, and interpreting these images places a significant burden on medical staff.
“ERATS” addresses this by detecting critical lesions within large volumes of whole-body CT images and extracting the necessary images, thereby helping to speed up diagnosis and enable early treatment intervention.

Our strength lies in the fact that our CEO works on the front lines as an emergency physician, which allows him to identify exactly which technologies can bring about transformation in the medical field. By continuing to provide care on the front lines of emergency medicine, we are able to develop products that truly meet the needs of the field.
Medical institutions that have adopted our products have told us, “We can trust these products precisely because they are led by an emergency physician working on the front lines of emergency care.” Currently, our company has approximately 30 members. They consist of healthcare professionals with hands-on experience in emergency medicine and engineers with advanced AI expertise.

Our next step is to build a hybrid emergency AI system that integrates image data with clinical data, thereby realizing a new form of emergency medicine through a hybrid approach combining human expertise and AI. Beyond that, we aim to expand this hybrid emergency medicine—a collaboration between humans and AI—globally as the next-generation standard for emergency care.
We would like to bring our technology to regions where emergency medical infrastructure is insufficient and support local doctors so they can save more lives.