Healthcare AI in a year: 3 trends to watch

Between the COVID-19 pandemic, a mental health crisis, rising healthcare costs, and aging populations, industry leaders are rushing to develop healthcare-specific artificial intelligence (AI) applications. When asked what types of software respondents are using to build their AI applications, the mo...

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Published inCIO
Main Author Talby, David
Format Trade Publication Article
LanguageEnglish
Published Framingham Foundry 23.06.2022
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Abstract Between the COVID-19 pandemic, a mental health crisis, rising healthcare costs, and aging populations, industry leaders are rushing to develop healthcare-specific artificial intelligence (AI) applications. When asked what types of software respondents are using to build their AI applications, the most popular selections were locally installed commercial software (37%), and open source software (35%). Respondents from mature organizations (68%) signaled a clear preference for using in-house evaluation and for tuning their models themselves.
AbstractList Between the COVID-19 pandemic, a mental health crisis, rising healthcare costs, and aging populations, industry leaders are rushing to develop healthcare-specific artificial intelligence (AI) applications. When asked what types of software respondents are using to build their AI applications, the most popular selections were locally installed commercial software (37%), and open source software (35%). Respondents from mature organizations (68%) signaled a clear preference for using in-house evaluation and for tuning their models themselves.
Author Talby, David
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Snippet Between the COVID-19 pandemic, a mental health crisis, rising healthcare costs, and aging populations, industry leaders are rushing to develop...
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SubjectTerms Artificial intelligence
COVID-19
Democratization
Mental health
Open source software
Pandemics
Software
Subject specialists
Trends
Venture capital
Title Healthcare AI in a year: 3 trends to watch
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