HEALTH TECHNOLOGY

maiData and inContext.ai Ink a Memorandum of Understanding How Two Healthcare AI Companies Plan to Work

maiData | November 12, 2020

maiData Corporation and inContext.ai today declared fulfillment of a Memorandum of Understanding (MOU) that traces how the two medical services AI organizations intend to cooperate to quicken AI development and arrangement.

Under the details of the MOU, maiData will coordinate Natural Language Processing (NLP) innovation from inContext.ai into its maiVA programming, which maiData with then use to recognize semantically applicable subsets of clinical information for pseudonymization, extraction and conveyance to clients. The expansion of NLP innovation from inContext.ai into maiVA programming will permit maiData clients to indicate more refined inquiry and surmising standards, and will give more nuanced, interoperable details about the clinical information that is gathered.

“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.”

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 built up a smoothed out way to deal with information assortment that will extraordinarily decrease the difficulties related with customary strategies for curating information for the turn of events and testing of clinical AI calculations. Filling in as the extension between clinical information sources and clinical AI designers, maiData quickens AI advancement and organization.

inContext.ai creates intellectual innovation and apparatuses that smooth out conveyance of patient consideration and reduction clinical blunders by helping clinicians center around what they excel at: thinking about patients. Execution of inContext.ai's Deep Artificial Intelligence (AI) apparatuses supporting Natural Language Processing (NLP) undertakings including Question Answering (QA), Reading Comprehension (RC), and Natural Language Inference (NLI), which consistently synchronize with EHR frameworks, implies medical services suppliers remain in consistence with clinical/lawful/administrative obligations, fundamentally improve cost, quality, and admittance to mind.

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.

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.

Spotlight

BMI Healthcare is the UK's largest private hospital group in the U.K, with 59 hospitals and clinics throughout the UK. What we do is in our name, it expresses its commitment to providing high quality healthcare, reiterating that there are two sides to healthcare; clinical expertise and caring support for the patient.


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Spotlight

BMI Healthcare is the UK's largest private hospital group in the U.K, with 59 hospitals and clinics throughout the UK. What we do is in our name, it expresses its commitment to providing high quality healthcare, reiterating that there are two sides to healthcare; clinical expertise and caring support for the patient.

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