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.
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.
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
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
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
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
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
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.
Supporting Animals' Health With AI
Heart disease is the second leading cause of death in dogs after cancer, and early detection of this disease is desirable during physical examinations and routine medical care.
Until now, dogs were generally placed on their sides and held down so they could not move, which was a burdensome method of ECG testing. However, due to the development of special electrodes, Anisapo enables dogs to measure electrocardiograms without feeling stress by simply standing on a sheet.
Data source: ECG data
Speedy and accurate ECG measurement with less burden on dogs
AI analysis of electrocardiograms to visualize abnormalities and contribute to the early detection of heart disease.
Realization of cardiac screening during physical examinations and routine medical care.
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
HACARUS and Kyoto University Join Forces to Tackle Cervical Cancer
HACARUS and Kobe University start joint research for Liver Cancer diagnosis support tool
Vets Invited to Test ECG Monitoring Device by HACARUS and DS Pharma Animal Health
