PALO ALTO, CALIF AND HOUSTON (PRWEB) NOVEMBER 11, 2020 -- maiData Corporation and inContext.ai today announced completion of a Memorandum of Understanding (MOU) that outlines how the two healthcare AI companies plan to work together to accelerate AI innovation and deployment.
Under the terms of the MOU, maiData will integrate Natural Language Processing (NLP) technology from inContext.ai into its maiVA software, which maiData with then use to identify semantically relevant subsets of clinical data for pseudonymization, extraction and delivery to customers. The addition of NLP technology from inContext.ai into maiVA software will allow maiData customers to specify more refined search and inference criteria, and will provide more nuanced, interoperable details about the clinical data that is collected.
“The integration of the inContext.ai technology into our platform will allow us to rapidly locate the data desired by our customers from within medical reports. It will increase the precision with which we can locate the exact data that our customers require,” said Julian Marshall, CEO of maiData. “This will be the most streamlined approach to medical data collection that our customers have ever known.”
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Robert Grzeszczuk, CEO of inContext.ai, said “Our company is excited to have been selected by maiData to provide our Natural Language Processing technology. Our deep experience in general language understanding will help maiData deliver targeted clinical information to the AI developers, Contract Research Organizations (CROs) and Pharmaceutical companies that they serve.”
maiData has developed a streamlined approach to data collection that will greatly reduce the challenges associated with traditional methods of curating data for the development and testing of medical AI algorithms. Serving as the bridge between clinical data sources and medical AI developers, maiData accelerates AI innovation and deployment.
inContext.ai develops cognitive technology and tools that streamline delivery of patient care and decrease medical errors by helping clinicians focus on what they do best: caring for patients. Implementation of inContext.ai’s Deep Artificial Intelligence (AI) tools supporting Natural Language Processing (NLP) tasks including Question Answering (QA), Reading Comprehension (RC), and Natural Language Inference (NLI), which seamlessly synchronize with EHR systems, means healthcare providers remain in compliance with medical/legal/regulatory responsibilities, significantly improve cost, quality, and access to care.
About maiData Corporation: maiData Corporation is a new Silicon Valley startup company. maiData fulfills its mission of “Bringing A.I. to Life” by focusing on helping developers improve the quality and generalizability of their algorithms and helping CROs expand the scale of the clinical studies they can perform. For information, visit https://www.maidata.io/
About inContext.ai: inContext.ai is a premier natural language processing AI company based in Houston whose technologies help medical providers and companies leverage the rich data in medical reports in new ways. InContext.ai’s research is funded in part by a generous National Science Foundation (NSF) Small Business Innovation Research (SBIR) grant. For information, visit https://incontext.ai/