The emergence of Internet of Things (IoT) and the need to maintain the large amount of unstructured clinical data which is available in the form of Electronic Health Records (EHR). The technologies used in NLP for healthcare and life science market is segmented based on speech, text and image patterns
What is Natural Language Processing
NPL is the ability of a computer program that understands the human language as it is spoken. Natural Language Processing (NLP) is a sub segment of Artificial Intelligence (AI). NLP basically works as a bridge between machines and human. NLP is being developed to create readable text and also to translate it into different human languages
What are the uses of Natural Language Processing ?
NLP basically works as a bridge between machines and human. The NLP technologies can effectively analyze large amount of clinical data. NLP helps in keeping away unwanted spams from your Emails. In healthcare the use NLP will help in segregating the unstructured data
Market Research and Market Trends of Natural Language Processing For Healthcare & Life Science Market:
- Suki is an AI enabled healthcare startup. The company has raised a funding of $15 million and the funding was supported by Venrock. It also included other investors such as First Round Capital, Social Capital. The company will use this funds to grow its virtual assistant that will help doctors in logging events and record EHR data using natural language processing.
- The use of Artificial Intelligence in NLP will help healthcare in retrieving relevant information from reputable sources in real time. The NLP capabilities can be used to create a virtual healthcare assistant. This virtual assistant will under conversations using natural language understanding models that are enabled with medical vocabulary.
Who are the Major Players in Adaptive Security Software Market?
The companies referred in the market research report are Suki, Linguamatics, NarrativeDX and others
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