Infographic

Tech and Mental Health I: Diagnosis

today2020.04.21. 288

Background

We’re kicking off our mini-series on tech & mental health!
In this Infographic we are exploring how Artificial Intelligence can be a useful tool in expanding our knowledge of mental illnesses. Machine Learning has been trending across disciplines in recent years and through its ability to detect patterns in data, AI can also lend a helping hand in diagnosing mental illness. Zoom in on the infographic below and find out how.

If you are interested in similar brain-related topics, you must join us at the Brainstorms Festival in March. Listen to talks from leading neuroscientists, take part in discussions, and network with like-minded people from around the world. Click on the image to find out more:

References:

1. Mental Health: Fact Sheet (WHO). Link:http://www.euro.who.int/__data/assets/pdf_file/0004/404851/MNH_FactSheet_ENG.pdf?ua=1
2. Yahata, N. et. al. Computational neuroscience approach to biomarkers and treatments for mental disorders. Psychiatry and Clinical Neurosciences (2017) 
3. Fruehwirt, W. et. al. Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer’s disease severity. Pre-print (2018) 
4. Schwartenbeck, P. & Friston, K. Computational Phenotyping in Psychiatry: A Worked Example. ENeuro (2016) 
5. Gu, X. et. al. Modeling subjective belief states in computational psychiatry: Interoceptive inference as a candidate framework. Psychopharmacology (2019)
6. Chandler, C. et. al. Using Machine Learning in Psychiatry: The Need to Establish a Framework That Nurtures Trustworthiness. Schizophrenia Bulletin (2020) 
7. Rezaii, N. et. al. A machine learning approach to predicting psychosis using semantic density and latent content analysis. NPJ Schizophrenia (2019)

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