{rfName}
Fu

Indexed in

License and Use

Icono OpenAccess

Citations

74

Altmetrics

Analysis of institutional authors

Martin-Ruiz, MlAuthorDe La Cruz, IpAuthor

Share

April 11, 2024
Publications
>
Article
Sí

Future of ADHD Care: Evaluating the Efficacy of ChatGPT in Therapy Enhancement

Publicated to: Healthcare (Basel). 12 (6): 683- - 2024-03-01 12(6), DOI: 10.3390/healthcare12060683

Authors:

Berrezueta-Guzman, S; Kandil, M; Martín-Ruiz, ML; de la Cruz, IP; Krusche, S
[+]

Affiliations

Tech Univ Munich, Sch Computat Informat & Technol, Appl Software Engn Res Grp - Author
Univ Politecn Madrid, Dept Ingn Telematica & Elect, Grp Invest Innovac Tecnol Personas InnoTep, ETSIS Telecomunicac, Campus Sur - Author

Abstract

This study explores the integration of large language models (LLMs), like ChatGPT, to improve attention deficit hyperactivity disorder (ADHD) treatments. Utilizing the Delphi method for its systematic forecasting capabilities, we gathered a panel of child ADHD therapy experts. These experts interacted with our custom ChatGPT through a specialized interface, thus engaging in simulated therapy scenarios with behavioral prompts and commands. Using empirical tests and expert feedback, we aimed to rigorously evaluate ChatGPT's effectiveness in therapy settings to integrate AI into healthcare responsibly. We sought to ensure that AI contributes positively and ethically to therapy and patient care, thus filling a gap in ADHD treatment methods. Findings show ChatGPT's empathy, adaptability, and communication strengths, thereby highlighting its potential to significantly improve ADHD care. The study points to ChatGPT's capacity to transform therapy practices through personalized and responsive patient care. However, it also notes the need for enhancements in privacy, cultural sensitivity, and interpreting nonverbal cues for ChatGPT's effective healthcare integration. Our research advocates for merging technological innovation with a comprehensive understanding of patient needs and ethical considerations, thereby aiming to pioneer a new era of AI-assisted therapy. We emphasize the ongoing refinement of AI tools like ChatGPT to meet ADHD therapy and patient care requirements more effectively.
[+]

Keywords

AdhdAi in mental healthAi-driven decision makingArtificial intelligenceAutismChatgptChildrenCognitive therapyComputational cognitive toolsCustomizable ai botsHomework activitiesLlmsOccupationaltherapy innovationPersonalized therapy sessionsRobot-assisted therapyRobotic systems in therapySensory data integration

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Healthcare (Basel) due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position 35/125, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Health Policy & Services. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría Leadership and Management.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-24:

  • WoS: 26
  • Scopus: 40
[+]

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-24:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 126.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 125 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 4.
  • The number of mentions on the social network X (formerly Twitter): 5 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/90214/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 130
  • Downloads: 141
[+]

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Germany.

[+]