Locations
Company type
Result types
Industries
Employees
Founding year
The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers
Close
Filter
Result configuration
Continents
Select continent
Locations
Result types
Company type
Select company type
Industries
Select industry
Company status
Select company status preset
Number of employees
Min.
Max.
Founding year
AI Medical Service
Tokyo, Japan
A
11-50 Employees
2017
Key takeaway
AI Medical Service Inc. is a healthcare AI startup focused on enhancing endoscopic medicine through artificial intelligence, specifically aimed at early-stage detection of gastrointestinal cancers. Their mission is to eliminate missed cancer diagnoses by developing AI-driven diagnostic support tools, such as gastric cancer differentiation AI, addressing the critical shortage of experienced endoscopists and improving overall cancer detection rates.
Reference
Core business
株式会社AIメディカルサービス｜世界の患者を救う
株式会社AIメディカルサービスは、「世界の患者を救う～内視鏡AIでがん見逃しゼロへ～」というミッションのもと、「胃がん鑑別AI」などの画像診断支援AI（人工知能）を開発する医療AIスタートアップです。
Aillis
Tokyo, Japan
A
11-50 Employees
2017
Key takeaway
Aillis, Inc. is developing an AI technology-based medical device that enhances the examination capabilities of doctors, particularly for early and accurate detection of influenza through image analysis of the throat. Their goal is to transform medical care by generalizing advanced diagnostic techniques using AI, thereby improving healthcare practices.
Reference
Core business
Aillis, Inc.
Aillis aims to recreate doctors' experiences in forms of medical device. To make possible an easy, accurate and early influenza detection, we are developing a machine-learning based AI algorithm which analyzes images of the throat.
Medical Data Vision Co.,Ltd.
Tokyo, Japan
A
51-100 Employees
2003
Key takeaway
MDV is dedicated to enhancing healthcare quality in Japan through the effective use of real-world data, particularly in the context of Evidence-Based Medicine (EBM). They provide analysis data sets related to drugs and diseases, enabling hospitals and research institutions to improve their medical policies and management practices.
Reference
Core business
About Us | Medical Data Vision Co., Ltd.
Looking for more accurate results?
Find the right companies for free by entering your custom query!
25M+ companies
250M+ products
Free to use
HACARUS
Kyoto, Japan
A
11-50 Employees
2014
Key takeaway
HACARUS focuses on innovative digital solutions in the healthcare sector through its diagnostic support AI platform, HACARUS MD, which aids healthcare professionals by providing AI-driven insights for better decision-making. Their expertise in Sparse Modeling technology enhances the ability to derive meaningful information from small data sets, making it particularly relevant for efficient healthcare applications.
Reference
Core business
HACARUS – Sparse Modeling based AI, Edge AI with learning and inference capability, White box AI
We make AI work, where common Big Data aproaches fail. Get explainable results, even from small data amounts. Available on the cloud or as embedded devices.
HealthNode
Tokyo, Japan
A
1-10 Employees
2020
Key takeaway
The Health Node platform is revolutionizing healthcare by enhancing medical infrastructure through the use of big data analytics and artificial intelligence, all secured on a Blockchain system. This approach not only centralizes medical and patient-generated health data but also improves clinical care and ensures the privacy of patient information.
Reference
Core business
About - Health Node
Health node system is a self-contained system that controls operations of the hospital from getting a patient appointment to discharge of admitted patient information, controls predictive capabilities of Artificial Intelligence, Machine Learning Algorithms across the Industry combined with Data acquisition using IoT enabled devices and patient inputs which will be accessed on a decentralized cloud platform leveraging BLOCKCHAIN technologies to provide security, transparency, and utility. The technology must be used in conjunction with existing protocols and made more dynamic within the healthcare space.
Medmain
Fukuoka, Japan
A
11-50 Employees
2018
Key takeaway
Medmain is focused on enhancing healthcare through technology, particularly with its PidPort system, which utilizes Deep Learning and AI for highly accurate and rapid pathological image diagnosis. This innovative approach not only streamlines the screening process but also facilitates remote pathological diagnosis, ensuring timely medical support for practitioners worldwide.
Reference
Core business
Medmain inc.
To create a world where medical services can be accessed with technology anywhere,anytime-As a supporting partner to medical practitioners throughout the world, Medmain develops and operates PidPort, an analytical system for pathological image diagnosis that makes use of Deep Learning, as well as Medteria, a specialized cloud-based service for medical students.
Canon Medical Systems
Ohtawara, Japan
A
- Employees
1948
Key takeaway
Canon Medical Systems is actively advancing healthcare AI through its innovative imaging solutions and deep learning technologies. Their focus on automation and enhanced clinical workflows aims to improve medical imaging and accelerate research in the field.
Reference
Product
Automation Platform | Healthcare IT | Canon Medical Systems
Tech Doctor
Tokyo, Japan
A
- Employees
-
Key takeaway
TechDoctor is focused on transforming healthcare through technology and data-driven approaches, emphasizing the importance of improving health and well-being.
Reference
Core business
TechDoctor - Data Based Healthcare
データで“調子”をよくする時代へ。TechDoctorはテクノロジーで医療業界とヘルスケア産業をサポートします
SMS Japan
Tokyo, Japan
A
- Employees
2003
Key takeaway
SMS Co., Ltd. is actively addressing the global shortage of healthcare professionals through strategic acquisitions and the development of a comprehensive management support platform for elderly care operators. Their mission to improve quality of life for an aging society underscores their commitment to enhancing the healthcare workforce and operational efficiency in the sector.
Reference
Service
Healthcare｜Our Business｜SMS Co., Ltd.
Healthcare — Business overview of SMS Co., Ltd., introducing how we are working on social issues faced by an aging society.
Ambii
Tsukuba, Japan
A
1-10 Employees
2018
Key takeaway
Ambii enhances healthcare access by allowing patients to communicate symptoms through digital forms in over 12 languages, facilitating a more efficient and personalized experience in finding the right doctor in Japan.
Reference
Core business
Ambii: Your Portal to Access Healthcare in Japan
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
Service
Ehnote Ophthalmology emr/shr software
Go to product
When delving into the Healthcare AI industry in Japan, several key considerations are crucial for informed research. First, understanding the regulatory landscape is vital, as Japan has stringent laws governing health data privacy and AI applications in healthcare. The Pharmaceuticals and Medical Devices Agency (PMDA) oversees the approval of AI technologies, necessitating compliance with local regulations. Additionally, the challenges of integrating AI into existing healthcare systems must be acknowledged, including resistance from healthcare professionals and the need for robust data sets to train AI algorithms effectively. Opportunities abound in Japan's aging population, which creates a demand for innovative healthcare solutions, particularly in elder care and chronic disease management. The competitive landscape features a mix of established companies and startups, fostering a dynamic environment for innovation. Furthermore, Japan's commitment to advancing healthcare technology positions it as a significant player in the global market, with potential for partnerships and collaborations. Environmental concerns may also influence the development and deployment of AI technologies, as sustainability becomes increasingly important in healthcare initiatives. Awareness of these factors can provide valuable insights and guide strategic decisions for those exploring the Healthcare AI sector in Japan.
Some interesting numbers and facts about your company results for Healthcare Ai
| Country with most fitting companies | Japan |
| Amount of fitting manufacturers | 25 |
| Amount of suitable service providers | 26 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1948 |
| Youngest suiting company | 2020 |
Some interesting questions that has been asked about the results you have just received for Healthcare Ai
What are related technologies to Healthcare Ai?
Based on our calculations related technologies to Healthcare Ai are Education, Engineering Services, IT & Technology Services, Healthcare Services, Consulting
Which industries are mostly working on Healthcare Ai?
The most represented industries which are working in Healthcare Ai are IT, Software and Services, Other, Human Resources, Medical, Marketing Services
How does ensun find these Healthcare Ai Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.