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Sophia Wang on the new tools helping her find answers in old data

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Manage episode 432945520 series 3371488
Contenido proporcionado por Dropbox. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Dropbox o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

On our final episode this season of Working Smarter we talk to Sophia Wang, an assistant professor of ophthalmology at Stanford University.

Wang leads the school’s ophthalmic informatics and artificial intelligence group, which uses the latest machine learning techniques to analyze electronic health records. In practice, that means looking at disparate sources of data—from doctors’ notes and eye exam data to diagnostic imagery and billing codes—and finding the sorts of patterns that can be difficult for humans to spot.

Hear Wang talk about using AI to extract useful information from a sea of unstructured data, and how to make better decisions with the data you already have—which, in Wang’s case, means improving outcomes for glaucoma patients and providing a better quality of care.

Show notes:

~ ~ ~

Working Smarter is a new podcast from Dropbox about how AI is changing the way we work and get stuff done.

You can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube Music, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.ai

This show would not be possible without the talented team at Cosmic Standard, namely: our producers Samiah Adams and Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to Benjy Baptiste for production assistance, our marketing and PR consultant Meggan Ellingboe, and our illustrators, Fanny Luor and Justin Tran. Our theme song was created by Doug Stuart. Working Smarter is hosted by Matthew Braga.

  continue reading

25 episodios

Artwork
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Manage episode 432945520 series 3371488
Contenido proporcionado por Dropbox. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Dropbox o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

On our final episode this season of Working Smarter we talk to Sophia Wang, an assistant professor of ophthalmology at Stanford University.

Wang leads the school’s ophthalmic informatics and artificial intelligence group, which uses the latest machine learning techniques to analyze electronic health records. In practice, that means looking at disparate sources of data—from doctors’ notes and eye exam data to diagnostic imagery and billing codes—and finding the sorts of patterns that can be difficult for humans to spot.

Hear Wang talk about using AI to extract useful information from a sea of unstructured data, and how to make better decisions with the data you already have—which, in Wang’s case, means improving outcomes for glaucoma patients and providing a better quality of care.

Show notes:

~ ~ ~

Working Smarter is a new podcast from Dropbox about how AI is changing the way we work and get stuff done.

You can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube Music, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.ai

This show would not be possible without the talented team at Cosmic Standard, namely: our producers Samiah Adams and Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to Benjy Baptiste for production assistance, our marketing and PR consultant Meggan Ellingboe, and our illustrators, Fanny Luor and Justin Tran. Our theme song was created by Doug Stuart. Working Smarter is hosted by Matthew Braga.

  continue reading

25 episodios

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