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Archivi categoria: AI

Ospite Luca Attias | Radio24 digitalizzazione

ospite ai nostri microfoni il Commissario straordinario per l’attuazione dell’agenda digitale Luca Attias.Sorgente: Ospite Luca Attias | Radio24

 
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Pubblicato da su 15 gennaio 2019 in AI, management

 

Unprovability comes to machine learning

Evidence of a limitation in certain machine-learning algorithms.

Sorgente: Unprovability comes to machine learning

 
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Pubblicato da su 9 gennaio 2019 in AI, Information Computer Technology

 

AI face-scanning app spots signs of rare genetic disorders

Incredibile
L’intelligenza artificiale applicata alla medicina. Un nuovo mondoDeep-learning algorithm helps to diagnose conditions that aren’t readily apparent to doctors or researchers.

Sorgente: AI face-scanning app spots signs of rare genetic disorders

 
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Pubblicato da su 8 gennaio 2019 in AI, Information Computer Technology

 

Patient commentary: Stop hyping artificial intelligence—patients will always need human doctors | The BMJ

Sorgente: Patient commentary: Stop hyping artificial intelligence—patients will always need human doctors | The BMJ

 
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Pubblicato da su 14 dicembre 2018 in AI, Information Computer Technology

 

High-Resolution Direct Ophthalmoscopy With an Unmodified iPhone X | Ophthalmic Imaging | JAMA Ophthalmology | JAMA Network

Sorgente: High-Resolution Direct Ophthalmoscopy With an Unmodified iPhone X | Ophthalmic Imaging | JAMA Ophthalmology | JAMA Network

 
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Pubblicato da su 3 dicembre 2018 in AI, Information Computer Technology

 

Wearable ultrasound patch tracks blood pressure | National Institutes of Health (NIH)

Researchers engineered a blood pressure sensor that uses ultrasound technology and can be worn as a flexible skin patch.

Sorgente: Wearable ultrasound patch tracks blood pressure | National Institutes of Health (NIH)

 
 

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JMIR Preprints #12424: Towards an understanding of the Strengths, Weaknesses, and Considerations for Effective mHealth Evaluation: A Retrospective Investigation

Journal of Medical Internet Research – International Scientific Journal for Medical Research, Information and Communication on the Internet

Sorgente: JMIR Preprints #12424: Towards an understanding of the Strengths, Weaknesses, and Considerations for Effective mHealth Evaluation: A Retrospective Investigation

 
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Pubblicato da su 26 ottobre 2018 in AI, Information Computer Technology

 
 
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