Top Tweets for #ComprehendMedical
Excited to talk about some of the key challenges in the building and deploying AI/ML Service in HCLS at Neurips tomorrow at 11AM PST.
https://t.co/u6TeEemIsj
#NeurIPS2020 #amazonscience #comprehend #comprehendmedical #awsai
Query the COVID-19 Open Research Dataset (CORD-19), with natural language questions and answers from Amazon Kendra. CORD-19 Search includes data from CORD-19 which has been processed using Amazon Comprehend Medical. Data is updated regularly.
#AWS #Kendra #Comprehendmedical
Fantastic talk by @craigwarburton on the use of @awscloud #ComprehendMedical in extracting structured information from unstructured documents within @KainosEvolve - thanks for coming to our conference Craig. Great talk!
Today’s talk at a partner event. Just before lunch too, hope the audience aren’t too hungry 😉 #aws #comprehendmedical
Achieve Healthcare Interoperability by integrating Amazon #ComprehendMedical with #FHIR: Most of the value in one's medical history lies in the unstructured part of the medical record (also the most objective part of the record) @awscloud https://t.co/coaxLRLGby
AI-powered Health Data Masking that leverages Amazon Comprehend Medical
#comprehendmedical #healthcare #amazon #ai #datamasking #health #awsai https://t.co/lxTk1aHqY4
Excited to present my teams work on Assertion Detection for Clinical text in Health session(2c) at 3PM tomorrow.
#ACL2019 #Italy #healthcare #comprehendmedical #awsai
https://t.co/KsZOhtS6K0
Our paper on "Joint Entity Extraction and Assertion Detection for Clinical Text" got accepted at ACL. #multitasklearning #acl #clinical #nlp #comprehend #medical #comprehendmedical #detection #extraction #text https://t.co/g7QAU4YWCB
Our work on "Relation Extraction using Explicit Context Conditioning" got accepted at NAACL 2019. #naacl2019 #NLProc #Amazon #comprehendmedical #relationextraction
https://t.co/Gx7S58Orsh
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