Wound Screener
10+
Preuzimanja
Svako
info
O aplikaciji
This mobile app was developed by the Mobile Technology Group at MIT as part of a research study that uses machine learning to help detect infection in a surgical wound based on the wound image. The version published here is a general purpose version that is used for testing and evaluation.
The current version of this app uses a machine learning algorithm running on a remote server. But future versions of this app will be able to run a machine learning algorithm on the phone itself without a server.
This project is a collaboration between groups at MIT (Rich Fletcher) and Harvard Medical School (Bethany Hedt-Gauthier) along with Boston area doctors and a large team at Partners In Health, in Rwanda, Africa.
MIT project page can be found here:
http://www.mobiletechnologylab.org/portfolio/predicting-infection/
The current version of this app uses a machine learning algorithm running on a remote server. But future versions of this app will be able to run a machine learning algorithm on the phone itself without a server.
This project is a collaboration between groups at MIT (Rich Fletcher) and Harvard Medical School (Bethany Hedt-Gauthier) along with Boston area doctors and a large team at Partners In Health, in Rwanda, Africa.
MIT project page can be found here:
http://www.mobiletechnologylab.org/portfolio/predicting-infection/
Ažurirano dana
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Podaci se šifriraju tokom prenosa
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Što je novo
1.1.0:
* Offline login
* Removed RedCap from launch screen
* Full Screen measurement dialogs.
1.0.1:
* Initial release with online capabilities.
* Offline login
* Removed RedCap from launch screen
* Full Screen measurement dialogs.
1.0.1:
* Initial release with online capabilities.
Podrška za aplikaciju
Informacije o programeru
Richard Ribon Fletcher
fletcher@media.mit.edu
United States
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