Medicine & AI

The following is a list of companies working on “Healthcare and AI.”


| Imaging diagnosis |

AI technology is utilized to support diagnosis of simple chest X-ray images during health checkups and medical examinations. Automatically analyzes the simple chest X-ray image taken. The system detects and marks areas where nodules, masses, invasive shadows, and pneumothorax are suspected. The physician can then reconfirm these areas to help prevent missed areas. The results are pre-processed so that they can be viewed without the need for a radiologist.｜「CXR-AID」
iMed Technologies, Inc. is developing AI to support endovascular surgery for conditions such as cerebral infarction and subarachnoid hemorrhage, utilizing a wealth of medical data and cutting-edge machine learning. This surgical method, which does not require craniotomy, is less burdensome for patients and has been increasing in number every year. However, it requires advanced skills and attention, and even a slight mistake in operation can lead to serious complications that can be life-threatening. The company's “Neuro-Vascular Assist®” is a medical image analysis software that analyzes real-time brain vascular imaging and immediately alerts users via audio and visual cues when it detects catheter deviation or movement outside the screen. This software supports surgeons, particularly junior physicians, and enhances surgical safety.Translated with DeepL.com (free version)｜「Neuro-Vascular Assist®」
CerebraAI is an AI platform that detects abnormal findings in contrast-free head CT (Non-Contrast CT) images with high accuracy for emergency conditions such as stroke, where a race against time is required. The intuitive user interface is designed to significantly shorten diagnosis time and can be naturally integrated into medical practice. This technology has already been introduced at more than 50 medical institutions in three countries around the world, and has been validated on more than 150,000 patient data sets, giving it a solid track record in the field. The shortage of radiologists in the U.S. and the growing need to speed up stroke diagnosis have led to the need for the immediate introduction of AI specialized for non-contrast CT in terms of time, cost, and safety, and CerebraAI is expected to further contribute to improving life-saving rates in the future. CerebraAI is expected to become a technology that contributes to improving life-saving rates.｜「Neuro-Vascular Assist®」
Treatment with anti-amyloid beta antibodies (such as aducanumab and lecanemab) is associated with a certain incidence of ARIA (acute brain injury), including cerebral edema and microbleeds. Early detection and accurate assessment are essential for safe continuation of treatment. icobrain aria uses AI to analyze ARIA-E (cerebral edema) and ARIA-H (bleeding) with high precision from MRI images, and tracks changes by comparing images before and after treatment, The AI-generated quantitative reports visually display details such as the location, size, and severity of lesions, providing rapid and objective decision-making tools for clinical settings. The system has already received FDA (U.S. Food and Drug Administration) approval, and clinical implementation is progressing overseas. In Japan, it is being rolled out through Micron Corporation and is gaining attention as a leading example of medical AI enhancing the quality and safety of Alzheimer's disease treatment.｜「icobrain aria」

| Streamlining work efficiency |

Developed by SIND Corporation, “Caretomo” is an AI-based conversational nursing record creation support system designed to improve work efficiency and quality in the medical field. By instantly transcribing conversations with patients and automatically creating drafts of progress notes, the system significantly reduces the workload of nurses. This reduces the time required to create records and improves the quality of the records. Demonstrations have proven its effectiveness, with an average 73% reduction in the time required to create progress notes. The system is currently being introduced in hospitals across Japan, contributing to increased efficiency and improved quality of care in the medical field.｜Company Profile
TXP Medical is a startup with the mission of “saving lives with medical data,” providing a wide range of services from the construction of platforms in acute care to the utilization of medical data. Aiming to improve operational efficiency and the quality of medical treatment in the medical field, TXP Medical is developing the NEXT Stage series, which supports the recording, analysis, and sharing of medical data. It develops and provides medical data systems that can be utilized in the field of emergency medicine, intensive care, and even emergency medical services, enabling rapid and accurate information sharing. Furthermore, we are also focusing on the development of medical AI technology and applying it to medical treatment support and predictive analysis to support decision-making in the medical field. In addition, we have built a medical data platform and contribute to the realization of better healthcare through the analysis of real-world data held by local governments and medical institutions. In addition, we also provide support services for clinical research and management support and consulting services for medical institutions, and are promoting efforts to support the medical field from various angles.｜「NEXT Stage」｜Company Profile
The "Medical Documentation Support AI Model" developed by TNTT East Japan is an initiative to reform the way doctors work and promote digital transformation (DX) in hospitals. The model utilizes “tsuzumi,” a large-scale language model (LLM) developed by NTT, and IOWN (Innovative Optical and Wireless Network), a next-generation communication infrastructure. In this demonstration project, Kanto Hospital operated by NTT East is connected to GPU servers in remote locations via IOWN's All-Photonics Network (APN) to provide a low latency and secure AI learning environment while keeping medical data in the hospital. This is expected to improve the efficiency of medical documentation work performed by physicians, such as medical certificates and medical records. Specifically, NTT East is working to improve the accuracy of “tsuzumi” through learning specific to medical information using methods such as prompt engineering, RAG (Retrieval-Augmented Generation), LoRA (Low-Rank Adaptation) tuning, and others. Through this verification experiment, NTT East aims to reduce the long working hours of physicians and improve operational efficiency in the medical field, and is considering developing solutions in collaboration with electronic medical record vendors and expanding to other medical institutions.｜CLICK HERE
Nurabot is a next-generation collaborative robot designed to perform logistical tasks within hospitals. Powered by NVIDIA's Jetson Orin platform, the robot uses highly accurate sensors and AI algorithms to move autonomously within the hospital ward while recognizing and avoiding people and obstacles. It mainly transports medicines, specimens, and medical equipment, and by taking over repetitive tasks that nurses used to spend their time on, the robot significantly reduces the physical and mental burden on medical personnel.The Taichung Veterans General Hospital (TCVGH) in Taiwan is actually conducting a demonstration experiment using Nurabot, which is now in operation to deliver drugs across multiple floors and transport specimens to the testing department. Hospital personnel have commented that the Nurabot has saved several hours of work per day, allowing nurses to focus more on patient-centered care. In addition, Nurabot is trained on the hospital's “digital twin” using NVIDIA Omniverse, allowing for operational optimization by combining real and virtual environments. Nurabot is not just a machine, but a “partner” that works with medical staff onsite, enabling the realization of smart hospitals. Nurabot is not just a machine, but a “partner” that works together with medical staff in the field, and has become a symbolic presence toward the realization of the smart hospital.｜CLICK HERE

| Nursing care |

Next System's AI skeletal detection engine “VisionPose” is used in the rehabilitation support robot "Well Walk WW-2000" developed by Toyota Motor Corporation. Well Walk WW-2000 is a robot that supports walking rehabilitation for patients suffering from lower limb paralysis due to stroke or other causes. The robot is equipped with a “gait analysis guide function” that determines abnormal gait of the patient in real time and a “game function” that promotes rehabilitation. To realize these functions, “VisionPose,” which enables marker-less and highly accurate skeletal detection, was adopted. With the introduction of "VisionPose", it is now possible to detect a patient's skeletal information in real time and with high accuracy even when the robot is worn. This has enabled the provision of gait analysis guide and game functions that are practical in clinical settings. In this way, the collaboration between Toyota and Next System has realized advanced rehabilitation support utilizing AI technology.｜「Welwalk」｜Use in medical and nursing homes
This product enables AI to automatically analyze posture and movements from captured videos and objectively evaluate physical functions. This supports scientifically based approaches to important issues in medical and nursing care settings, such as rehabilitation and fall prevention. Rehab Cloud Motion AI” is equipped with proprietary AI that combines the latest posture estimation technology with the knowledge of over 10 rehabilitation specialists. This enables a system that allows anyone to easily and accurately evaluate physical functions that previously required specialized training. Furthermore, the system is equipped with a function that automatically makes optimal rehabilitation proposals from a menu of more than 120 exercise options according to the analysis results, making a significant contribution to reducing the burden on medical and nursing care staff, maintaining the health of users, and reducing the risk of falls.｜「Rehab Cloud motion AI」
『AIREC（AI-driven Robot for Embrace and Care）』By 2050, the robot will be able to perform daily tasks such as cooking, laundry, and cleaning, as well as nursing care assistance such as transferring, wiping, and eating, and even nursing and medical assistance such as changing intravenous drips and supporting surgery. The goal is for AIREC to take on the following tasks. Toward this goal, AIREC is developing soft robotics that combines mechanical flexibility and environmental adaptability, as well as physical intelligence and communication intelligence that naturally interacts with humans. In parallel, activities are also underway with a view to social acceptance. Dry-AIREC, an application model of AIREC, is being implemented in medical and nursing care, such as physical movement support and acquisition of vital information. Dry-AIREC supports physical activities that promote independence, such as rehabilitation assistance to safely widen joint angles in the shoulders and arms, and help patients get up from beds and chairs. In addition, a technology is being developed that enables Dry-AIREC to acquire biometric information such as pulse, blood pressure, and body temperature in a natural way by gently taking a person's hand, which is expected to offer new possibilities for monitoring health conditions without causing discomfort to the user.「AIREC」

| Surgical assistance |

Sony Group Corporation has developed a microsurgery support robot capable of automatic exchange of surgical instruments and precise operation. Utilizing high-precision operability and AI technology, it enables delicate and advanced surgery, such as suturing extremely small blood vessels and nerves, while compensating for the doctor's hand tremors. This is expected to reduce the burden on doctors, improve the success rate of surgery, and reduce the burden on patients. Utilizing cutting-edge robotics technology, we provide innovative solutions that support the future of medical care.「Microsurgery Assist Robot」
eXeX aims to use AI to improve communication and efficiency during surgery, creating an environment where the entire team can work in harmony. In cooperation with Apple Vision Pro, surgeons can use visual checklists hands-free, and AI responds flexibly to each operating room and surgeon's style. In addition, by combining AI with language models and computer vision, it is possible to grasp the location of tools and give real-time instructions to team members, reducing unnecessary interruptions. Spatial awareness keeps track of the surgeon's line of sight, creating a more intuitive and efficient surgical environment. In this way, eXeX is trying to transform the operating room into a harmonious space like a symphony by using AI.｜CLICK HERE

| Clinical reasoning |

Glass Health is an AI-based clinical decision support (Clinical Decision Support) platform developed by Czech company Board of Innovation. The system helps in clinical reasoning and quickly suggests differential diagnoses and treatment plans. By inputting the patient's symptoms and information, Glass Health's AI provides useful recommendations for doctors and supports clinical decisions. The aim is to improve efficiency in the medical field and make more accurate diagnoses.｜「Glass Health」
a start-up company from Chiba University, has developed OPQRST, an AI simulated patient interview simulation, with the aim of improving medical personnel's interviewing skills and providing reassuring medical care to patients. An active general practitioner is involved in the management of the company, and the company is working to improve medical education DX and patient interviewing skills. In the field of medical education, securing mock patients for OSCE examinations has become a major issue, with approximately 98.6% of medical schools nationwide reporting that they feel burdened. In particular, 85.3% of universities recognize that securing mock patients is a challenge. Against this backdrop, the “OPQRST” system, which was developed to adjust the speech style and level of cooperation of AI simulated patients, currently supports 47 types of cases. Further enhancements are planned for the future, including voice input/output, 3D, and VR support, which are expected to further improve the effectiveness of education.｜「OPQRST」
Baymatob's “Oli” is a non-invasive wearable medical device with AI and multifunctional sensors that aims to monitor the mother's condition during delivery in real time and predict the risk of postpartum hemorrhage (PPH) before bleeding Oli" is the only device of its kind in the world. Oli has received breakthrough device designation from the U.S. FDA as the only product in the world capable of identifying individuals at high risk for postpartum hemorrhage prior to delivery. The device is placed on the mother's upper abdomen and continuously captures physiological data such as electrical impedance, body temperature, body movement, and changes in skin surface topography. These data are immediately analyzed by the AI and medical professionals are notified if an increased risk is detected. This allows midwives and doctors to make decisions based on objective data in addition to traditional visual examination and experience, leading to early response to postpartum hemorrhage. It is expected to be introduced in the medical field as a means of reducing the possibility of serious consequences, such as emergency hysterectomy.｜「OPQRST」

| Genetic diagnosis and personalized medicine |

We provide three services to support personalized medicine, aiming to reduce the pain caused by illness: 1) Propose optimal treatment for each patient through genetic testing, 2) Improve diagnostic accuracy and accelerate drug development through the use of medical data, and 3) Provide clinical support, including clinical trial information, through an AI app.｜CLICK HERE
The TMINI® Miniature Robotic System developed by THINK Surgical is a surgical robot that promotes personalized medicine in the field of orthopedics. TMINI creates CT-based 3D surgical plans based on each patient's anatomical structure and needs. During surgery, bone pins can be placed with extremely high precision while correcting the surgeon's movements in real time. This allows for bone resection and implant placement that are optimized for each patient. Another notable feature is the existence of TMINI's unique database, "ID-HUB." This system integrates and manages various implant information from multiple manufacturers, allowing doctors to flexibly select the implant that is most suitable for the patient's condition and bone structure. This makes it possible to create the optimal treatment plan for each patient without relying on standardized surgical procedures.｜「TMINI® Miniature Robotic System」

Papers and research