AIMC Topic: Mental Health
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Fusing Wearable Biosensors with Artificial Intelligence for Mental Health Monitoring: A Systematic Review.
Biosensors
Mar 21, 2025
The development of digital instruments for mental health monitoring using biosensor data from wearable devices can enable remote, longitudinal, and objective quantitative benchmarks. To survey developments and trends in this field, we conducted a sys...
Should my Chatbot Health Coach be Certified and Regulated?
American journal of health promotion : AJHP
Mar 20, 2025
Artificial intelligence shows both perils and promises as a way to address the difficulties in accessing professional support such as health coaching and health counseling. Chatbots are being used by millions of users to address their loneliness, to ...
Generalizability of clinical prediction models in mental health.
Molecular psychiatry
Mar 19, 2025
Concerns about the generalizability of machine learning models in mental health arise, partly due to sampling effects and data disparities between research cohorts and real-world populations. We aimed to investigate whether a machine learning model t...
Artificial intelligence impacts in education and pediatric mental health.
Current opinion in pediatrics
Mar 19, 2025
PURPOSE OF REVIEW: Increased accessibility of artificial intelligence to children has raised concerns regarding its effects on education and student mental health. Pediatricians should continue to be informed about the effects of artificial intellige...
Protocol for socioecological study of autism, suicide risk, and mental health care: Integrating machine learning and community consultation for suicide prevention.
PloS one
Mar 19, 2025
INTRODUCTION: Autistic people experience higher risk of suicidal ideation (SI) and suicide attempts (SA) compared to non-autistic people, yet there is limited understanding of complex, multilevel factors that drive this disparity. Further, determinan...
Artificial intelligence-based risk assessment tools for sexual, reproductive and mental health: a systematic review.
BMC medical informatics and decision making
Mar 17, 2025
BACKGROUND: Artificial intelligence (AI), which emulates human intelligence through knowledge-based heuristics, has transformative impacts across various industries. In the global healthcare sector, there is a pressing need for advanced risk assessme...
Applying AI in the Context of the Association Between Device-Based Assessment of Physical Activity and Mental Health: Systematic Review.
JMIR mHealth and uHealth
Mar 6, 2025
BACKGROUND: Wearable technology is used by consumers worldwide for continuous activity monitoring in daily life but more recently also for classifying or predicting mental health parameters like stress or depression levels. Previous studies identifie...
Using machine learning to explore the efficacy of administrative variables in prediction of subjective-wellbeing outcomes in New Zealand.
Scientific reports
Feb 25, 2025
The growing acknowledgment of population wellbeing as a key indicator of societal prosperity has propelled governments worldwide to devise policies aimed at improving their citizens' overall wellbeing. In New Zealand, the General Social Survey provid...
Fast, smart, and adaptive: using machine learning to optimize mental health assessment and monitor change over time.
Scientific reports
Feb 22, 2025
In mental health, accurate symptom assessment and precise measurement of patient conditions are crucial for clinical decision-making and effective treatment planning. Traditional assessment methods can be burdensome, especially for vulnerable populat...
Utilizing natural language processing for precision prevention of mental health disorders among youth: A systematic review.
Computers in biology and medicine
Feb 21, 2025
BACKGROUND: The global mental health crisis has created barriers to youth mental healthcare, leaving many disorders unaddressed. Precision prevention, which identifies individual risks, offers the potential for tailored interventions. While natural l...
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