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Automatic Detection of Osteoporosis in Electronic Consultation (eConsult) Service Using Natural Language Processing [Health care informatics]

Annals of Family Medicine

Objective The aim is to analyze the feasibility of natural language processing (NLP) to train and automatically detect osteo from endocrinology cases in eConsult, to use primary care providers’ text data, provide explanations and help route endo cases to the more appropriate MD.

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Mastering Responses to FDA 510(k) AI Letters: A Strategic Approach

FDA Law Blog

By Day 100 If MDUFA Decision is not reached by Day 100, FDA provides Missed MDUFA Decision Communication that identifies outstanding review issues. Performance Metric FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 Average Number of FDA Days to MDUFA IV Decision 72.62 By Day 90 FDA sends final MDUFA Decision on 510(k).

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Preemies receive sucrose for pain relief—new research shows it doesn't stop long-term impacts on development

Medical Xpress

While many of these procedures provide critical care, we know they are acutely painful. Provided by The Conversation This article is republished from The Conversation under a Creative Commons license. The content is provided for information purposes only. During this time, they receive up to 16 painful procedures every day.

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