241: Pushing the Boundaries in Mental Healthcare with Data Science
In this episode of the SuperDataScience Podcast, I chat with Dr. Guillermo Cecchi about the role of data science in medical research and maybe even the future of artificial intelligence. You will learn how data science and artificial intelligence are pushing the boundaries of mental healthcare. You will hear some very interesting approaches about getting insights from audio samples of patients’ voices and their speech and you will also learn about the development of some fascinating techniques, like transferring intuitive knowledge from professionals in the healthcare field into algorithms.
If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/241
IBM's AI for detecting neurological state
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 – Website
Guillermo Cecchi –
Chris Benson – Website, GitHub, LinkedIn, X
Daniel Whitenack – Website, GitHub, X
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
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