Xtasis is transforming patient care and hospital operations through cutting edge artificial intelligence, machine learning, and data analytics deployed to solve real world problems.
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Streamline billing processes with our AI-powered medical billing platform.
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Advanced text annotation tool for efficient data labeling and NLP projects.
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Our innovative Pixelguard technology enhances digital imaging with advanced security and image processing. A HIPAA compliant de-identification technology for removing metadata and burned in pixel information. Available on AWS Marketplace.
FAQ for PixelguardXtasis was born out of the Kline Engineering Lab at Northwestern University. We are at the forefront of leveraging artificial intelligence and machine learning to revolutionize the healthcare industry. We are part of the NVIDIA Inception program, which supports cutting-edge startups in the AI and deep learning space.
Our team of experienced data scientists, medical professionals, and software engineers collaborates to create innovative solutions.
We strive to lead the healthcare industry through cutting-edge technology and forward-thinking research.
By working closely with medical professionals, we develop solutions that truly address patient and provider needs.
We adhere to the highest ethical standards, ensuring patient privacy and data security.
CEO, Founder
Dr. Kline is a leading expert in AI-driven healthcare solutions with a background in clinical medicine and engineering.
Chief Financial Officer
Mark is a seasoned finance executive with expertise in product development, marketing, and strategic planning.
Board member
Dr. Johnston oversees the clinical integration of AI tools as the chief of cardiac surgery at Northwestern Medicine.
Advisory Board
Dr. Carr, chair of radiology at Northwestern Medicine, advises on the integration of AI in medical imaging and diagnostics.
Advisory Board
Dr. Forkert, a leading researcher in machine learning and imaging, serves as a CIFAR chair of Canada.
Advisory Board
Dr. Cantey, an Assistant Professor at the University of Michigan, specializes in interventional cardiology and in AI diagnostics.
We'd love to hear from you! Contact us for a demo or any questions.
