HACARUS MD

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

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

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

ECG Measurement AI for animals

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

Data source: ECG data