IBM's AI for detecting neurological state
Practical AI: Machine Learning, Data Science
English - January 21, 2019 12:00 - 41 minutes - 57.3 MB - ★★★★★ - 37 ratingsTechnology Education How To changelog machine learning deep learning artificial intelligence neural networks computer vision Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Ajay Royyuru and Guillermo Cecchi from IBM Healthcare join Chris and Daniel to discuss the emerging field of computational psychiatry. They talk about how researchers at IBM are applying AI to measure mental and neurological health based on speech, and they give us their perspectives on things like bias in healthcare data, AI augmentation for doctors, and encodings of language structure.
Ajay Royyuru and Guillermo Cecchi from IBM Healthcare join Chris and Daniel to discuss the emerging field of computational psychiatry. They talk about how researchers at IBM are applying AI to measure mental and neurological health based on speech, and they give us their perspectives on things like bias in healthcare data, AI augmentation for doctors, and encodings of language structure.
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Featuring:
Ajay Royyuru – WebsiteGuillermo Cecchi – Chris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, Website
Show Notes:
IBM 5 in 5: With AI, our words will be a window into our mental health
Predicting Cognitive Impairments with a Mobile Application
Automated analysis of recent-onset and prodromal schizophrenia
Prediction of psychosis across protocols and risk cohorts using automated language analysis
Something missing or broken? PRs welcome!