Open AccessFake brain helping human brain
Author(s) -
Anastasiya Vinokurtseva,
Shafaz Veettil
Publication year - 2020
Publication title -
uwomj/medical journal
Language(s) - English
Resource type - Journals
eISSN - 2560-8274
pISSN - 0042-0336
DOI - 10.5206/uwomj.v88i2.7304
Subject(s) - confidentiality , patient confidentiality , mental health , mental healthcare , health care , internet privacy , population , psychology , medicine , computer science , computer security , psychiatry , environmental health , economics , economic growth
Mental health disorders affect 30% of the world’s population and rates of diagnosiscontinue to increase. This huge global burden on the individual and societal levels requiresenhancement of current diagnosis and treatment. Artificial intelligence (AI) offers novelapproaches to diagnosis in mental healthcare. Personal digital devices that have becomeomnipresent in the developed world can be used as sensors for continuous monitoring ofindividual’s behaviour. Analysis of behavioural markers such as sleep, social media use andcommunication patterns through the use of sensors creates a patient’s digital phenotype.Continuous monitoring offers an insight into patients’ regular behaviour that is different from theself-reported, momentary snapshot used in conventional diagnostic practices. Virtual humans offeran alternative way to collect information, allowing for increased patient disclosure. Currentapplications of AI facilitate access to mental healthcare by monitoring patient functioning in reallife and immediately connecting patients to appropriate resources. Despite many benefits of AI inmental healthcare, further translation of this innovation from research to clinical practice requiresdiligent policy making to address privacy and confidentiality concerns.