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AI PARIS 2018: @SYSTRAN & PERTIMM Win Technology Award With Multilingual, Healthcare Virtual Agent

AI PARIS 2018: @SYSTRAN & PERTIMM Win Technology Award With Multilingual, Healthcare Virtual Agent | Language Tech Market News | Scoop.it
The winning solution is a multilingual e-Health ‘chatbot’ based on the Viky.ai platform developed by Pertimm, which enables patients to interact with healthcare professionals and receive optimal care, regardless of their linguistic level and language all the while protecting their privacy and the privacy of their personal medical records.
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Medtech Researchers to Help @RowAnalytics Shape Its Semantic Search Solution

Medtech Researchers to Help @RowAnalytics Shape Its Semantic Search Solution | Language Tech Market News | Scoop.it

RowAnalytics (UK & DK) set out to solve the major problems with search engines. First, removing the requirement that the user knows all the “right” keywords and has the uncommon expertise to build this and/or “not that” Boolean style complex searches. Now, entire sentences or abstracts can be pasted or whole articles and/or patents together can be directly uploaded into the query field. The AI find engine constructs the query on behalf of the user and retrieves all the hits that match, as well as returns interesting hits that keyword searches miss. This is especially helpful when preparing a patent claim or new drug filing when much of the language is deliberately obfuscated – precisionlife SEARCH determines which other patent applications (or articles) are similar in concept.

LT-Innovate's insight:

Specialised in search for life sciences and medicine, this company seems to be expanding the range of accurate "big search"  by using large chunks of text as a semantic template for the search inout.

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Medical-Record Content Challenges IBM Watson

Medical-Record Content Challenges IBM Watson | Language Tech Market News | Scoop.it
The cancer hospital’s first major challenge involved getting the machine to deal with the idiosyncrasies of medical records: the acronyms, human errors, shorthand phrases, and different styles of writing. “Teaching a machine to read a record is a lot harder than anyone thought,” she said. Her team spent countless hours on that problem, trying to get Watson to extract valuable information from medical records so that it could apply them to its recommendations.
LT-Innovate's insight:

Long analysis of the poor performance of Watson in cancer care. Document understanding was a key issue. Useful insight into the kinds of problems ahead for other healthcare language understanding systems - one being lack of data, a regular complaint. 

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UK Chatbot Maker babylon Funded $60M for Next Generation App

UK Chatbot Maker babylon Funded $60M for Next Generation App | Language Tech Market News | Scoop.it

UK-based health chatbot company babylon, which raised $25 million in early 2016, has raised an additional $60 million in funding. The company's total funding is now in the neighborhood of $200 million. babylon's offering is essentially a triage chatbot, which uses AI to ask users a series of introductory questions and determine whether they need to be seen by a human doctor. This has the potential to address doctor shortages by relegating some easier tasks to computers.

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#ASR Growth in Global Medical Transcription Market 2018-2022

#ASR Growth in Global Medical Transcription Market 2018-2022 | Language Tech Market News | Scoop.it
The global medical transcription market is expected to post a CAGR of more than 6% over the period 2018-2022, according to the latest market research report by Technavio.
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#NLProc To Simplify Health-Record Jargon for Patients

#NLProc To Simplify Health-Record Jargon for Patients | Language Tech Market News | Scoop.it

Using natural language processing (NLP) to translate confusing and complex medical jargon into everyday speech may help patients feel more in control of the information presented to them. 
More than a third of American adults have limited health literacy, according to the 2006 National Assessment of Adult Literacy, which puts them at risk of failing to understand provider instructions about medications, post-discharge care, or recommended preventive services.

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Cambridge Cognition Developing New#ASR Products for Health Assessment

Cambridge Cognition plans to formally unveil its automatic speech recognition technology at the Alzheimer's Association Technology and Dementia pre-conference in London July 15, when it will present data from a proof of concept study. It is employing AI and ASR to make "language-based verbal cognitive assessments", which it hopes will reduce human error between trial centres and between trial subjects covering Alzheimer's disease, depression and schizophrenia.


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