Navigating the Future of Psychiatry: A Review of Research on Opportunities, Applications, and Challenges of Artificial Intelligence

No abstract is available for this paper.

• Publication year

  2025

• Venue

  Current Treatment Options in Psychiatry

• Publication date

  2025-02-17

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1007/s40501-025-00344-1
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• ChatGPT is not ready yet for use in providing mental health assessment and interventions

  2024cited by this paper
• Systematic review and meta-analysis of adverse events in clinical trials of mental health apps

  2024cited by this paper
• Hybrid care in mental health: a framework for understanding care, research, and future opportunities

  2024cited by this paper
• Use of AI in Mental Health Care: Community and Mental Health Professionals Survey

  2024cited by this paper
• A systematic review on passive sensing for the prediction of suicidal thoughts and behaviors

  2024cited by this paper
• Machine learning applied to digital phenotyping: A systematic literature review and taxonomy

  2024cited by this paper
• Beyond Step Count: Are We Ready to Use Digital Phenotyping to Make Actionable Individual Predictions in Psychiatry?

  2024cited by this paper
• Digital phenotyping data and anomaly detection methods to assess changes in mood and anxiety symptoms across a transdiagnostic clinical sample

  2024cited by this paper
• Measurement of Adverse Events in Studies of Digital Health Interventions for Psychosis: Guidance and Recommendations Based on a Literature Search and Framework Analysis of Standard Operating Procedures

  2024cited by this paper
• Adverse Events Reporting in Digital Interventions Evaluations for Psychosis: A Systematic Literature Search and Individual Level Content Analysis of Adverse Event Reports

  2024cited by this paper
• Developing an individualized treatment rule for Veterans with major depressive disorder using electronic health records

  2024cited by this paper
• Smartphone and Wearable Device-Based Digital Phenotyping to Understand Substance use and its Syndemics

  2024cited by this paper
• Current evidence on the efficacy of mental health smartphone apps for symptoms of depression and anxiety. A meta‐analysis of 176 randomized controlled trials

  2024cited by this paper
• Generative artificial intelligence in mental health care: potential benefits and current challenges

  2024cited by this paper
• Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records

  2023cited by this paper
• Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being

  2023influential reference
• Chatbots and Mental Health: Insights into the Safety of Generative AI

  2023cited by this paper
• Digital Phenotyping in Adults with Schizophrenia: A Narrative Review

  2023cited by this paper
• Appraising the performance of ChatGPT in psychiatry using 100 clinical case vignettes.

  2023cited by this paper
• Psilocybin therapy for treatment resistant depression: prediction of clinical outcome by natural language processing

  2023cited by this paper
• Ethical Challenges in AI Approaches to Eating Disorders

  2023cited by this paper
• Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartphone App and Deep Learning Approaches: Usability Study

  2023cited by this paper
• Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum.

  2023cited by this paper
• Relapse prediction in schizophrenia with smartphone digital phenotyping during COVID-19: a prospective, three-site, two-country, longitudinal study

  2023cited by this paper
• Assessment of Mental Health Services Available Through Smartphone Apps

  2022cited by this paper
• Health-focused conversational agents in person-centered care: a review of apps

  2022cited by this paper
• Differences in mobility patterns according to machine learning models in patients with bipolar disorder and patients with unipolar disorder.

  2022influential reference
• Natural language processing applied to mental illness detection: a narrative review

  2022cited by this paper
• The World Mental Health Report: transforming mental health for all

  2022cited by this paper
• Machine learning models to detect anxiety and depression through social media: A scoping review

  2022cited by this paper
• Chatbot-Delivered Cognitive Behavioral Therapy in Adolescents With Depression and Anxiety During the COVID-19 Pandemic: Feasibility and Acceptability Study

  2022cited by this paper
• Text Topics and Treatment Response in Internet-Delivered Cognitive Behavioral Therapy for Generalized Anxiety Disorder: Text Mining Study

  2022cited by this paper
• The relationship between appraisals of auditory verbal hallucinations and real-time affect and social functioning.

  2022cited by this paper
• Artificial Intelligence for Mental Healthcare: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom.

  2021cited by this paper
• Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study

  2021cited by this paper
• Artificially intelligent chatbots in digital mental health interventions: a review

  2021cited by this paper
• The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality

  2021cited by this paper
• The promise of machine learning in predicting treatment outcomes in psychiatry

  2021cited by this paper
• Using artificial intelligence and longitudinal location data to differentiate persons who develop posttraumatic stress disorder following childhood trauma

  2021cited by this paper
• Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study

  2020cited by this paper
• Understanding the relationship between patient language and outcomes in internet-enabled cognitive behavioural therapy: A deep learning approach to automatic coding of session transcripts

  2020cited by this paper
• A machine learning approach predicts future risk to suicidal ideation from social media data

  2020cited by this paper
• Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors

  2020cited by this paper
• Predicting treatment dropout after antidepressant initiation

  2020cited by this paper
• Machine learning and natural language processing in psychotherapy research: Alliance as example use case.

  2020cited by this paper
• BlueMemo: Depression Analysis through Twitter Posts

  2020cited by this paper
• Predicting change in diagnosis from major depression to bipolar disorder after antidepressant initiation

  2020cited by this paper
• Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape

  2019cited by this paper
• GPS mobility as a digital biomarker of negative symptoms in schizophrenia: a case control study

  2019cited by this paper
• Accuracy of a Chatbot (Ada) in the Diagnosis of Mental Disorders: Comparative Case Study With Lay and Expert Users

  2019cited by this paper
• Use of the Chatbot “Vivibot” to Deliver Positive Psychology Skills and Promote Well-Being Among Young People After Cancer Treatment: Randomized Controlled Feasibility Trial

  2019cited by this paper
• Detecting relapse in youth with psychotic disorders utilizing patient-generated and patient-contributed digital data from Facebook

  2019cited by this paper
• Actionable digital phenotyping: a framework for the delivery of just-in-time and longitudinal interventions in clinical healthcare.

  2019cited by this paper
• Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety

  2019cited by this paper
• Artificial Intelligence and the Future of Psychiatry: Insights from a Global Physician Survey

  2019cited by this paper
• Relationships between smartphone social behavior and relapse in schizophrenia: A preliminary report.

  2019cited by this paper
• An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study

  2018cited by this paper
• The Lancet Commission on global mental health and sustainable development.

  2018cited by this paper
• Identifying substance use risk based on deep neural networks and Instagram social media data

  2018cited by this paper
• Predicting Suicide Attempts and Suicide Deaths Following Outpatient Visits Using Electronic Health Records.

  2018cited by this paper
• Annual Research Review: Expanding mental health services through novel models of intervention delivery.

  2018cited by this paper
• Quantifying and Predicting Mental Illness Severity in Online Pro-Eating Disorder Communities

  2016cited by this paper
• Mobile Phone Ownership and Endorsement of "mHealth" Among People With Psychosis: A Meta-analysis of Cross-sectional Studies.

  2016cited by this paper
• Therapist effects in the therapeutic alliance-outcome relationship: a restricted-maximum likelihood meta-analysis.

  2012cited by this paper
• Introduction to artificial intelligence

  1986cited by this paper
• Natural-Language Processing

  1982cited by this paper
• Internet Interventions

  year unknowncited by this paper

• Predictive Analytics to Enhance Learning Outcomes: Cases from UK Schools

  2025cites this paper
• Integrating Artificial Intelligence and Smartphone Technology to Enhance Personalized Assessment and Treatment for Eating Disorders

  2025cites this paper
• GenAI and psychiatry: Between multimodal promise and ethical perils.

  2025cites this paper
• Looking beyond depression: meta-analysis of digital interventions for depression on eleven secondary mental health and wellbeing outcomes.

  2025cites this paper
• Transdiagnostic-focused apps for depression and anxiety: a meta-analysis

  2025cites this paper
• A Study on Classification of Students Depression Based on Gradient Boosting Algorithm

  2025cites this paper
• Psychiatry in the age of AI: transforming theory, practice, and medical education

  2025cites this paper
• The future of psychiatry: a dozen questions while gazing into the crystal ball.

  2025cites this paper
• The future of psychiatry in Brazil: insights from global perspectives and local realities.

  2025cites this paper