Remove topics machine-learning
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Can foundation AI models like ChatGPT and Google’s Bard be used for automating medical scribing?

KevinMD

Foundation models like ChatGPT and Google’s Bard are derived from natural language processing, machine learning, and deep learning algorithms. These models use transfer learning mechanisms to convert texts to summaries.

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Will robots replace doctors?

KevinMD

Among the many recurring topics, this year has been the impact of machine learning in our lives, especially the implications for our future work life. Prophecies range from ubiquitous utopian machine servants to a dystopian ravaging, hollowing out the work and economic standing of the middle and lower classes.

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Applying AI, Machine Learning and Automation to Reduce Redundancies in Healthcare – #HITsm Chat Topic

Healthcare IT Today

We’re excited to share the topic and questions for this week’s #HITsm chat happening Friday, 8/23 at Noon ET (9 AM PT).

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Four observations from AI and the Future of Care Work research

Aging in Place Technology Watch

Here are four observations from the just-completed research interviews on this topic: Machine learning and analytics convert population health to a ‘population of one.’ Machine learning technology can, as one interviewee noted, consume transcription, EMR data and free text to consider a population of one.

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HIPAA and Machine Learning at Loyal

Healthcare IT Today

Deep learning traditionally involves funneling huge data sets into layers of software to produce actionable insights. But when strict privacy requirements control what can appear in the output, machine learning methods have to change. I talked to Abhi Sharma, chief product officer at Loyal , about how they do machine learning.

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Health IT Investment: The Next Five Years

Healthcare IT News - Telehealth

Region Tag: Global Edition Hide Collection: 0 Primary topic: Electronic Health Records (EHR, EMR) News How CIOs are prioritizing AI investments for the next 5 years In the first installment of Healthcare IT News' newest feature series, five hospital and health. By Bill Siwicki | October 18, 2021.

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Teaching an AI/ML/LLM should be a distinct PurposeOfUse

Healthcare Exchange Standards

That is, that when data are being requested/downloaded for the intent of feeding to a Machine Learning; this action should be distinguished from a request for Treatment. This use-case would need the above ability to understand when a data request could result in the data being used for Machine Learning.

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