Clinical prediction models in psychiatry: a systematic review of two decades of progress and challenges
Recent years have seen the rapid proliferation of clinical prediction models aiming to
support risk stratification and individualized care within psychiatry. Despite growing interest …
support risk stratification and individualized care within psychiatry. Despite growing interest …
[HTML][HTML] Wearable artificial intelligence for anxiety and depression: scoping review
Background Anxiety and depression are the most common mental disorders worldwide.
Owing to the lack of psychiatrists around the world, the incorporation of artificial intelligence …
Owing to the lack of psychiatrists around the world, the incorporation of artificial intelligence …
[HTML][HTML] Digital phenotyping for monitoring mental disorders: systematic review
P Bufano, M Laurino, S Said, A Tognetti… - Journal of Medical …, 2023 - jmir.org
Background The COVID-19 pandemic has increased the impact and spread of mental
illness and made health services difficult to access; therefore, there is a need for remote …
illness and made health services difficult to access; therefore, there is a need for remote …
Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression
Given the limitations of traditional approaches, wearable artificial intelligence (AI) is one of
the technologies that have been exploited to detect or predict depression. The current …
the technologies that have been exploited to detect or predict depression. The current …
Systematic review of digital phenotyping and machine learning in psychosis spectrum illnesses
Background Digital phenotyping is the use of data from smartphones and wearables
collected in situ for capturing a digital expression of human behaviors. Digital phenotyping …
collected in situ for capturing a digital expression of human behaviors. Digital phenotyping …
[HTML][HTML] The role of machine learning in diagnosing bipolar disorder: scoping review
Background Bipolar disorder (BD) is the 10th most common cause of frailty in young
individuals and has triggered morbidity and mortality worldwide. Patients with BD have a life …
individuals and has triggered morbidity and mortality worldwide. Patients with BD have a life …
[HTML][HTML] Digital phenotyping of mental health using multimodal sensing of multiple situations of interest: A systematic literature review
Many studies have used Digital Phenotyping of Mental Health (DPMH) to complement
classic methods of mental health assessment and monitoring. This research area proposes …
classic methods of mental health assessment and monitoring. This research area proposes …
[HTML][HTML] From smartphone data to clinically relevant predictions: A systematic review of digital phenotyping methods in depression
Background Smartphone-based digital phenotyping enables potentially clinically relevant
information to be collected as individuals go about their day. This could improve monitoring …
information to be collected as individuals go about their day. This could improve monitoring …
Rapid-acting antidepressants and the circadian clock
S Sato, B Bunney, L Mendoza-Viveros… - …, 2022 - nature.com
A growing number of epidemiological and experimental studies has established that
circadian disruption is strongly associated with psychiatric disorders, including major …
circadian disruption is strongly associated with psychiatric disorders, including major …
[HTML][HTML] Telemedicine in chronic wound management: systematic review and meta-analysis
L Chen, L Cheng, W Gao, D Chen… - JMIR mHealth and …, 2020 - mhealth.jmir.org
Background: Chronic wounds have been a great burden to patients and the health care
system. The popularity of the internet and smart devices, such as mobile phones and tablets …
system. The popularity of the internet and smart devices, such as mobile phones and tablets …