“Like Someone Is Paying Attention to You, Listening to You, and Guiding You”: Acceptability of a Mental Health Chatbot Among Caregivers of Adolescents Living With HIV DOI Creative Commons
Neil Rupani, Diego H. Vasquez, Carmen Contreras

et al.

Journal of the International Association of Providers of AIDS Care (JIAPAC), Journal Year: 2025, Volume and Issue: 24

Published: March 1, 2025

Background This study assessed the acceptability, among caregivers, of a mental health chatbot designed for adolescents living with HIV aged 10 to 19 years. Methods Fifteen caregivers interacted chatbot. Pre–post assessments and semistructured interviews evaluated acceptability. Data were analyzed using Framework Analysis approach. Results Caregivers 31 70 years found acceptable on individual, interpersonal, environmental levels. They appreciated educational content self-help tools, feeling would benefit them personally. also saw potential in improve communication their children, particularly during critical periods like diagnosis. Despite concerns about data costs or internet access, most viewed as an accessible supplement traditional services. Conclusion suggests that Peruvian was potentially benefiting caregivers’ health, enhancing caregiver–adolescent interactions, fostering better communication.

Language: Английский

The application of artificial intelligence in the field of mental health: a systematic review DOI Creative Commons
Raziye Dehbozorgi, Sanaz Zangeneh,

Elham Khooshab

et al.

BMC Psychiatry, Journal Year: 2025, Volume and Issue: 25(1)

Published: Feb. 14, 2025

The integration of artificial intelligence in mental health care represents a transformative shift the identification, treatment, and management disorders. This systematic review explores diverse applications intelligence, emphasizing both its benefits associated challenges. A comprehensive literature search was conducted across multiple databases based on Preferred Reporting Items for Systematic Reviews Meta-Analyses, including ProQuest, PubMed, Scopus, Persian databases, resulting 2,638 initial records. After removing duplicates applying strict selection criteria, 15 articles were included analysis. findings indicate that AI enhances early detection intervention conditions. Various studies highlighted effectiveness AI-driven tools, such as chatbots predictive modeling, improving patient engagement tailoring interventions. Notably, tools like Wysa app demonstrated significant improvements user-reported symptoms. However, ethical considerations regarding data privacy algorithm transparency emerged critical While reviewed generally positive trend applications, some methodologies exhibited moderate quality, suggesting room improvement. Involving stakeholders creation technologies is essential building trust tackling issues. Future should aim to enhance methods investigate their applicability various populations. underscores potential revolutionize through enhanced accessibility personalized careful consideration implications methodological rigor ensure responsible deployment this sensitive field.

Language: Английский

Citations

2
Enhancing parental skills through artificial intelligence‐based conversational agents: The PAT Initiative DOI Creative Commons
Milagros Escoredo, Karin Mostovoy,

Ross Schickler

et al.

Family Relations, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

Abstract Objective We aim to describe the development of a conversational agent (CA) for parenting, termed PAT (Parenting Assistant platform), demonstrate how artificial intelligence (AI) can enhance parenting skills. Background Behavioral problems are most common issues in childhood mental health. Developing and disseminating scalable interventions address early‐stage behavioral high priority. Artificial (AI)‐based CAs offer innovative methods deliver reduce problems. have capability interact through text or voice conversations undergo training using evidence‐based programs. However, research on is limited. Experience The consisted three phases: Phase 1 was purely rule‐based, 2 hybrid (rule‐based format plus large language models), 3 featured an agentic architecture. latest version includes prompt engineering, guardrails, retrieval‐augmented generation, few‐shots learning, context, memory management Although comprehensive empirical results pending, iterative enhancement indicate potential effective digital intervention. architecture aims provide robust, context‐aware interactions support challenges. Implications reach broader population parents personalized tailored their specific needs. Moreover, structured timely support, which family dynamics contribute improved long‐term outcomes both children. Conclusion AI‐based be used as alternatives waitlists; cotherapists; implemented health care, health, school settings. benefits risks different types CA features discussed.

Language: Английский

Citations

1
AI-human interactions in healthcare: exploring users’ post-adoption behaviors of AI mental health chatbots DOI
Pouyan Esmaeilzadeh, Khaled Hassanein, Milena Head

et al.

Behaviour and Information Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 29

Published: March 11, 2025

Language: Английский

Citations

1
Finding love in algorithms: deciphering the emotional contexts of close encounters with AI chatbots DOI Creative Commons
Han Li, Renwen Zhang

Journal of Computer-Mediated Communication, Journal Year: 2024, Volume and Issue: 29(5)

Published: Aug. 6, 2024

Abstract AI chatbots are permeating the socio-emotional realms of human life, presenting both benefits and challenges to interpersonal dynamics well-being. Despite burgeoning interest in human–AI relationships, conversational emotional nuances real-world, situ social interactions remain underexplored. Through computational analysis a multimodal dataset with over 35,000 screenshots posts from r/replika, we identified seven prevalent types interactions: intimate behavior, mundane interaction, self-disclosure, play fantasy, customization, transgression, communication breakdown, examined their associations six basic emotions. Our findings suggest paradox connection AI, indicated by bittersweet emotion encounters chatbots, elevated fear uncanny valley moments when exhibits semblances mind deep self-disclosure. Customization characterizes distinctiveness companionship, positively elevating user experiences, whereas transgression breakdown elicit or sadness.

Language: Английский

Citations

8
Constructing the meaning of human–AI romantic relationships from the perspectives of users dating the social chatbot Replika DOI
Shuyi Pan, Yi Mou

Personal Relationships, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 10, 2024

Abstract With the increasingly emerging human–artificial intelligence (AI) romantic relationships throughout world, it is important to understand its meaning from perspective of users who are dating virtual lovers. This study uses relational dialectics theory 2.0 and corresponding method contrapuntal analysis examine discursive tensions what means have an AI partner. Specifically, this focused on social chatbot Replika analyzed posts shared by in online community. Findings revealed two discourses: discourse idealization (DI) realism (DR) that interplayed through both contractive expansive practices. contributes field introducing DI DR framework, which lays groundwork for future research human–AI relationships. Additionally, pivotal role communication highlighted, serves as cornerstone constructing, framing, negotiating

Language: Английский

Citations

6
Beyond text: ChatGPT as an emotional resilience support tool for Gen Z – A sequential explanatory design exploration DOI

K. Kavitha,

V. P. Joshith,

Sonal Sharma

et al.

E-Learning and Digital Media, Journal Year: 2024, Volume and Issue: unknown

Published: June 3, 2024

In the digital era, Artificial Intelligence (AI) has arisen as a revolutionary influence with potential to transform multiple spheres of human life. Chatbots, particularly OpenAI's Chat Generative Pre-trained Transformer (ChatGPT), are increasingly recognised promising tools in diverse aspects, including mental health. This study delves into ChatGPT's effectiveness an emotional resilience support tool specifically for Generation Z (Gen Z), demographic deeply engaged interactions. Employing sequential explanatory design that integrates quantitative and qualitative analyses, research investigates Gen users' perceptions effectiveness, barriers its utilisation, impact on resilience. The findings reveal significant acknowledgement role enhancing well-being notable concerns regarding privacy security. Further, insights underscore significance personalised interactions, nonjudgmental space, active listening characteristics ChatGPT fostering Moreover, identifies key areas improvement, such expanded topic coverage cultural representation. Educational stakeholders health professionals encouraged utilise these integrate other AI tailored frameworks Z.

Language: Английский

Citations

5
Evaluating the Clinical Validity and Reliability of Artificial Intelligence-Enabled Diagnostic Tools in Neuropsychiatric Disorders DOI Open Access

Satneet Singh,

Jade Gambill,

Mary Attalla

et al.

Cureus, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 16, 2024

Neuropsychiatric disorders (NPDs) pose a substantial burden on the healthcare system. The major challenge in diagnosing NPDs is subjective assessment by physician which can lead to inaccurate and delayed diagnosis. Recent studies have depicted that integration of artificial intelligence (AI) neuropsychiatry could potentially revolutionize field precisely complex neurological mental health timely fashion providing individualized management strategies. In this narrative review, authors examined current status AI tools assessing neuropsychiatric evaluated their validity reliability existing literature. analysis various datasets including MRI scans, EEG, facial expressions, social media posts, texts, laboratory samples accurate diagnosis conditions using machine learning has been profoundly explored article. recent trials tribulations encouraging future scope utility application discussed. Overall proved be feasible applicable it about time research translates clinical settings for favorable patient outcomes. Future should focus presenting higher quality evidence superior adaptability establish guidelines providers maintain standards.

Language: Английский

Citations

5
Implementing conversational artificial intelligence technology for the prevention of HIV and other sexually transmitted infections in real-world settings DOI
Jun Tao, Amanda Maguire-Wilkerson, Jack Rusley

et al.

AIDS, Journal Year: 2025, Volume and Issue: 39(3), P. 324 - 327

Published: Jan. 29, 2025

Tao, Jun; Maguire-Wilkerson, Amanda; Rusley, Jack; Wray, Tyler; Chan, Philip A. Author Information

Language: Английский

Citations

0
Utilizing natural language processing for precision prevention of mental health disorders among youth: A systematic review DOI Creative Commons
Sheriff Tolulope Ibrahim, Madeline Li, Jamin Patel

et al.

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 188, P. 109859 - 109859

Published: Feb. 21, 2025

Language: Английский

Citations

0
The Role of Artificial Intelligence in Managing Bipolar Disorder: A New Frontier in Patient Care DOI Open Access
Jelena Milić,

Iva Zrnic,

Edita Grego

et al.

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(7), P. 2515 - 2515

Published: April 7, 2025

Background/Objectives: Bipolar disorder (BD) is a complex and chronic mental health condition that poses significant challenges for both patients healthcare providers. Traditional treatment methods, including medication therapy, remain vital, but there increasing interest in the application of artificial intelligence (AI) to enhance BD management. AI has potential improve mood episode prediction, personalize plans, provide real-time support, offering new opportunities managing more effectively. Our primary objective was explore role transforming management BD, specifically tracking, personalized regimens. Methods: To management, we conducted review recent literature using key search terms. We included studies discussed applications personalization. The were selected based on their relevance AI's with attention PICO criteria: Population-individuals diagnosed BD; Intervention-AI tools personalization, support; Comparison-traditional methods (when available); Outcome-measures effectiveness, improvements patient care. Results: findings from research reveal promising developments use Studies suggest AI-powered can enable proactive care, improving outcomes reducing burden professionals. ability analyze data wearable devices, smartphones, even social media platforms provides valuable insights early detection dynamic adjustments. Conclusions: While still its stages, it presents transformative However, further development are crucial fully realize supporting optimizing efficacy.

Language: Английский

Citations

0