Healthcare & Life Sciences / Monitoring, Imaging & Diagnostics Tech
Best Radiology AI — Cardiac CT Analytics Companies
What is Radiology AI — Cardiac CT Analytics?
The radiology AI — cardiac CT analytics market is a growing sector within the healthcare industry that utilizes AI technology to analyze cardiac CT scans. This technology can help identify potential cardiovascular diseases and provide more accurate diagnoses. The solutions offered by this market can also aid in treatment planning and monitoring, ultimately leading to better patient outcomes. With the increasing prevalence of heart disease and the need for more efficient and effective healthcare solutions, the Radiology AI — cardiac CT analytics market presents a promising opportunity for investors and healthcare providers alike.
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Top Radiology AI — Cardiac CT Analytics Companies
Arterys provides automated, intelligent cloud-based software that uses real-world clinical data to make imaging more accurate and data driven. Arterys develops 4D Flow technology, which generates precise measurements of blood flow noninvasively and non-radiatively anywhere in the body, and enables physicians to visualize and analyze blood flow inside the heart in 3D with automatic, interactive reporting.
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Cleerly is a healthcare company that uses AI-powered imaging to analyze heart scans and whose mission is to create digital care pathways to prevent heart attacks. The company integrates clinical science with AI in order to offer clinical insights to every stakeholder in the heart care pathway. Through these data-driven solutions, it aims to provide a comprehensive solution for cardiovascular disease evaluation that offers great value to the healthcare system and improves heart health for patients at risk of heart attacks. The company was founded in 2017 and is based in New York, New York.
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HeartFlow provides a digital health service platform that aims to transform heart disease diagnosis and treatments. It provides an approach to the non-invasive diagnosis of coronary artery disease (CAD). Leveraging deep learning and trained analysts, HeartFlow creates a personalized, digital 3D model of patients’ coronary arteries based on data from CT scans. Physicians use the model to evaluate the impact a blockage has on blood flow to the heart and determine the most optimal treatment pathway for patients. HeartFlow was formerly known as Cardiovascular Simulation. The company was founded in 2007 and is based in Mountain View, California.
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Butterfly Network operates within diagnostic and therapeutic imaging with devices, deep learning, and the cloud. Butterfly Network operates at the intersection of engineering and medicine by bringing together computer science, physics, mechanical engineering, electrical engineering, and medicine. The company was founded in 2011 and is based in Guilford, Connecticut.
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Artrya is working to solve the world’s largest cause of death – heart disease. The company is using Artificial Intelligence to more accurately identify patients at risk of Coronary Artery Disease and guide clinicians in delivering more effective treatment.
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Centaur Labs enables customers to build AI algorithms that detect cancers and fight disease. The company uses crowdsourcing to label medical images and video datasets. On its iOS app, DiagnosUs, medical students and professionals already analyze tens of thousands of images per day. The opinions of multiple people and algorithms are then combined into one highly accurate analysis.
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Cerebriu aims to transform radiology by developing a deep learning-based, AI-integrated platform that provides automated image quantification and biomarker indication. It provides automated image acquisition protocols and patient triage during MRI brain acquisitions. The company was founded in 2018 and is based in Copenhagen, Denmark.
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Keya Medical enables health organizations and IT vendors to deliver personalized medicine at a low cost through expert systems that augment physician knowledge, speed precise diagnoses, and expedite critical cases. The company's proprietary artificial intelligence (AI) algorithms are uniquely tailored to medical data, adding machine intelligence and automation to challenging steps in medical image analysis, clinical results mining, molecular oncology, and other areas of medicine and research.
Medipixel develops AI-based cardiovascular disease diagnosis and treatment solutions. The company's AI engine enables third party surgery robots to perform complex actions without human intervention. Initially starting from percutaneous coronary intervention procedures, Medipixel is expanding its domain to other areas such as peripheral vascular intervention procedure, neurointerventional procedure, and even laparoscopy surgery procedure.
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Shukun Technology develops diagnostic systems by using machine learning and AI technology for hospitals to improve efficiency. The company focuses on cardiovascular diagnosis.
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The ESP matrix leverages data and analyst insight to identify and rank leading private-market companies in a given technology landscape.
What is Radiology AI — Cardiac CT Analytics?
The radiology AI — cardiac CT analytics market is a growing sector within the healthcare industry that utilizes AI technology to analyze cardiac CT scans. This technology can help identify potential cardiovascular diseases and provide more accurate diagnoses. The solutions offered by this market can also aid in treatment planning and monitoring, ultimately leading to better patient outcomes. With the increasing prevalence of heart disease and the need for more efficient and effective healthcare solutions, the Radiology AI — cardiac CT analytics market presents a promising opportunity for investors and healthcare providers alike.
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Do you compete within Radiology AI — Cardiac CT Analytics?
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