Precision medicine, AI, and the future of personalized health care

KB Johnson, WQ Wei, D Weeraratne… - Clinical and …, 2021 - Wiley Online Library
The convergence of artificial intelligence (AI) and precision medicine promises to
revolutionize health care. Precision medicine methods identify phenotypes of patients with …

Artificial intelligence for mental health care: clinical applications, barriers, facilitators, and artificial wisdom

EE Lee, J Torous, M De Choudhury, CA Depp… - Biological Psychiatry …, 2021 - Elsevier
Artificial intelligence (AI) is increasingly employed in health care fields such as oncology,
radiology, and dermatology. However, the use of AI in mental health care and …

[HTML][HTML] Mental health and behavior of college students during the early phases of the COVID-19 pandemic: Longitudinal smartphone and ecological momentary …

JF Huckins, AW DaSilva, W Wang, E Hedlund… - Journal of medical …, 2020 - jmir.org
Background The vast majority of people worldwide have been impacted by coronavirus
disease (COVID-19). In addition to the millions of individuals who have been infected with …

[HTML][HTML] Smartphone sensors for health monitoring and diagnosis

S Majumder, MJ Deen - Sensors, 2019 - mdpi.com
Over the past few decades, we have witnessed a dramatic rise in life expectancy owing to
significant advances in medical science and technology, medicine as well as increased …

The experience sampling method on mobile devices

N Van Berkel, D Ferreira, V Kostakos - ACM Computing Surveys (CSUR), 2017 - dl.acm.org
The Experience Sampling Method (ESM) is used by scientists from various disciplines to
gather insights into the intra-psychic elements of human life. Researchers have used the …

Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect

CV Anikwe, HF Nweke, AC Ikegwu… - Expert Systems with …, 2022 - Elsevier
Mobile and wearable devices embedded with multiple sensors for health monitoring and
disease diagnosis are growing fields with the potential to provide efficient means for remote …

[HTML][HTML] Predicting symptoms of depression and anxiety using smartphone and wearable data

I Moshe, Y Terhorst, K Opoku Asare, LB Sander… - Frontiers in …, 2021 - frontiersin.org
Background: Depression and anxiety are leading causes of disability worldwide but often
remain undetected and untreated. Smartphone and wearable devices may offer a unique …

[HTML][HTML] Digital health tools for the passive monitoring of depression: a systematic review of methods

V De Angel, S Lewis, K White, C Oetzmann… - NPJ digital …, 2022 - nature.com
The use of digital tools to measure physiological and behavioural variables of potential
relevance to mental health is a growing field sitting at the intersection between computer …

[HTML][HTML] Systematic review of smartphone-based passive sensing for health and wellbeing

VP Cornet, RJ Holden - Journal of biomedical informatics, 2018 - Elsevier
Objective To review published empirical literature on the use of smartphone-based passive
sensing for health and wellbeing. Material and methods A systematic review of the English …

[HTML][HTML] A systematic review of cognitive behavioral therapy and behavioral activation apps for depression

A Huguet, S Rao, PJ McGrath, L Wozney, M Wheaton… - PloS one, 2016 - journals.plos.org
Depression is a common mental health condition for which many mobile apps aim to provide
support. This review aims to identify self-help apps available exclusively for people with …