The use of artificial intelligence in psychotherapy: development of intelligent therapeutic systems

BMC Psychology, Journal Year: 2025, Volume and Issue: 13(1)

Published: Feb. 28, 2025

The increasing demand for psychotherapy and limited access to specialists underscore the potential of artificial intelligence (AI) in mental health care. This study evaluates effectiveness AI-powered Friend chatbot providing psychological support during crisis situations, compared traditional psychotherapy. A randomized controlled trial was conducted with 104 women diagnosed anxiety disorders active war zones. Participants were randomly assigned two groups: experimental group used daily support, while control received 60-minute sessions three times a week. Anxiety levels assessed using Hamilton Rating Scale Beck Inventory. T-tests analyze results. Both groups showed significant reductions levels. receiving therapy had 45% reduction on scale 50% scale, 30% 35% group. While provided accessible, immediate proved more effective due emotional depth adaptability by human therapists. particularly beneficial settings where therapists limited, proving its value scalability availability. However, engagement notably lower in-person therapy. offers scalable, cost-effective solution situations may not be accessible. Although remains reducing anxiety, hybrid model combining AI interaction could optimize care, especially underserved areas or emergencies. Further research is needed improve AI's responsiveness adaptability.

Language: Английский

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Human-AI agency in the age of generative AI

Information and Organization, Journal Year: 2025, Volume and Issue: 35(1), P. 100560 - 100560

Published: March 1, 2025

Language: Английский

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Which AI doctor would you like to see? Emulating healthcare provider–patient communication models with GPT-4: proof-of-concept and ethical exploration

Journal of Medical Ethics, Journal Year: 2025, Volume and Issue: unknown, P. jme - 110256

Published: March 3, 2025

Large language models (LLMs) have demonstrated potential in enhancing various aspects of healthcare, including health provider–patient communication. However, some raised the concern that such communication may adopt implicit norms deviate from what patients want or need talking with their healthcare provider. This paper explores possibility using LLMs to enable choose preferred style when discussing medical cases. By providing a proof-of-concept demonstration ChatGPT-4, we suggest can emulate different approaches (building on Emanuel and Emanuel’s four models: paternalistic, informative, interpretive deliberative). allows engage aligns individual needs preferences. We also highlight risks associated communication, as reinforcing patients’ biases persuasive capabilities lead unintended manipulation.

Language: Английский

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Deceptively Simple yet Profoundly Impactful: Text Messaging Interventions to Support Health (Preprint)

Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: 26, P. e58726 - e58726

Published: July 15, 2024

This paper examines the use of text message (SMS) interventions for health-related behavioral support. It first outlines historical progress in SMS intervention research publications and variety funds from US government agencies. A narrative review follows, highlighting effectiveness key health areas, such as physical activity, diet weight loss, mental health, substance use, based on published meta-analyses. then advantages messaging compared to other digital modalities, including real-time capability collect information deliver microdoses Crucial design elements are proposed optimize longitudinal engagement across communication strategies, psychological foundations, behavior change tactics. We discuss advanced functionalities, potential generative artificial intelligence improve user interaction. Finally, major challenges implementation highlighted, absence a dedicated commercial platform, privacy security concerns with technology, difficulties integrating medical informatics systems, about engagement. Proposed solutions aim facilitate broader application interventions. Our hope is that these insights can assist researchers practitioners using outcomes reducing disparities.

Language: Английский

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La mente digital: un análisis del impacto psicosocial de la inteligencia artificial en los estudiantes del siglo XXI

Reincisol, Journal Year: 2024, Volume and Issue: 3(6), P. 2038 - 2069

Published: Aug. 30, 2024

Este estudio aborda el impacto psicosocial de la inteligencia artificial (IA) en los estudiantes del siglo XXI, un tema creciente importancia contexto educativo contemporáneo. Con integración tecnologías digitales entornos educativos, es crucial comprender cómo estas herramientas afectan bienestar emocional, las relaciones sociales y identidad estudiantes. El objetivo esta investigación analizar estos efectos a través una revisión exhaustiva literatura existente proporcionar recomendaciones para uso responsable ético IA educación. La metodología fue sistemática 85 artículos académicos indexados Scopus, seleccionando estudios relevantes que exploran aprendizaje, salud mental interacciones A análisis crítico hallazgos hechos RStudio, se identificaron patrones tendencias significativas reflejan tanto beneficios como desafíos asociados con ámbito educativo.

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