HACARUS MD

Diagnosis Support AI Platform

Designed to enable the next-generation medical environment.

HACARUS MD is a diagnostic support AI platform that supports healthcare professionals.
With HACARUS's proprietary AI technology, it is possible to build highly interpretable AI without using big data. Our mission is to provide accurate and prompt diagnostic support in all medical settings.

Designed to enable the next-generation medical environment.

HACARUS MD is a diagnostic support AI platform that supports healthcare professionals.
With HACARUS's proprietary AI technology, it is possible to build highly interpretable AI without using big data. Our mission is to provide accurate and prompt diagnostic support in all medical settings.

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Diagnosis Support AI for cerebral infarction


Acute cerebral infarction diagnosis, accurate support when most needed

Stroke kills about 110,000 people annually in Japan. Accurate diagnosis of cerebral infarction in the acute phase is one of the key factors in improving chances of successful recovery. However, the number of specialists and hospitals that can diagnose the disease type and propose treatment methods is currently limited.

By combining MRI examination data and other patient data, HACARUS’ system allows doctors to quickly select the appropriate treatment method.


Data source: MRI image

Data source: MRI image



Features

Diagnostic support combining MRI images with other patient medical data

Immediate diagnosis derived from specialized knowledge and know-how

Reduced risk associated with delayed diagnosis of acute stroke

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Diagnosis support AI for hepatocellular carcinoma cancer (HCC)


To support the interpretation of MRI images that protect against the risk of hepatocellular carcinoma by early detection

In Japan some 25,000 people die of liver cancer each year, and it is the third leading cause of cancer death for men over 40 years old, after gastric cancer and colon cancer. The number of cases worldwide is also on the rise. While HCC can be detected early by MRI image diagnosis, a shortage of specialists possessing the required knowledge to interpret the scans means that the healthcare system is increasingly unable to meet a growing demand for diagnosis.

By supporting the interpretation of MRI using AI, we aim to realize early diagnosis regardless of the specialty of the doctor.


Data source: MRI image

From the Department of Radiology, Department of Internal Medicine, ​Graduate School of Medicine, Kobe University

Data source: MRI image



Features

Detection of risk areas in MRI images

Support for typology of hepatocellular carcinoma in the risk area

Aids radiologists who interpret images and contributes to early detection

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Diagnosis support AI for cervical cancer


Medical AI solution for prevention and early diagnosis of cervical cancer.

Cervical cancer is one of the most common types of cancers affecting women in Japan - annually around 10,000 new cases are reported – worse yet, cervical cancer leads to around 3,000 deaths each year. Furthermore, Cervical Intraepithelial Neoplasia (CIN) a precancerous condition has explosively increased among women in their 20s and 30s, leading to ever more women in need of care and physical examination.

However, today the healthcare system is unable to support this increasing demand, due to a severe shortage of specialist oncologists and colposcopy equipment – which ultimately means that many patients fail to get timely treatment and diagnosis.

We aim to solve this problem by providing AI-based lesion identification and diagnostic assistance for tissue collection even in facilities where specialists are not available.


Data source: Culpascope image

Data source: Culpascope image



Features

Detecting lesion risk areas from culpascope videos

Support for diagnosis of tissue collection from risk areas

Diagnosis support in line with the diagnosis and treatment standards of Japan.

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Engagement Model

Information gathering


From Customer

Inquiry / Area of interest


HACARUS & Customer

Requirement Capturing

Joint research


From Customer

Data Assets


HACARUS

AI creation using data
Performance evaluation


HACARUS & Customer

Confirmation of evaluation results

Development of medical devices incorporating AI


HACARUS

・Development of target AI
・System development according to the requirement / format (example: embedding in medical equipment, implementation for platforms)

Medical device application


HACARUS & Customer

Seek certification by Pharmaceuticals and Medical Devices Agency (PMDA), Advisory by the Ministry of Health, Labor and Welfare, etc. and others.

Product Launch

Inquiry & Request for Materials

Case StudyCase Studies

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