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 …
revolutionize health care. Precision medicine methods identify phenotypes of patients with …
Artificial intelligence for mental health care: clinical applications, barriers, facilitators, and artificial wisdom
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 …
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 …
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 …
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 …
significant advances in medical science and technology, medicine as well as increased …
The experience sampling method on mobile devices
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 …
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
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 …
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
Background: Depression and anxiety are leading causes of disability worldwide but often
remain undetected and untreated. Smartphone and wearable devices may offer a unique …
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 …
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
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 …
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
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 …
support. This review aims to identify self-help apps available exclusively for people with …