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SYSTEMATIC REVIEW article
Front. Hum. Neurosci.
Sec. Brain Health and Clinical Neuroscience
Volume 19 - 2025 | doi: 10.3389/fnhum.2025.1577585
This article is part of the Research Topic AI Innovations in Neurological and Psychiatric Disorder Management: Diagnosis to Treatment View all articles
Artificial Intelligence in ADHD: A Global Perspective on Research Hotspots, Trends and Clinical Applications
Provisionally accepted- 1 Hebei University of Chinese Medicine, Shijiazhuang, China
- 2 Department of Children Rehabilitation, First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan Province, China
- 3 Xinxiang Autism Integration Education Engineering and Technology Research Center, Xinxiang, Henan Province, China
- 4 Henan University of Chinese Medicine, Zhengzhou, Henan Province, China
- 5 Shenzhen Eye Hospital, Shenzhen Eye Medical Center, Southern Medical University, Shenzhen, China
Background: Artificial Intelligence (AI), has garnered attention in research on attention deficit hyperactivity disorder (ADHD). In the future, AI may have clinical applications in ADHD, particularly in facilitating the objective diagnosis and classification of ADHD. This study aimed to comprehensively analyze the current status and research frontiers of AI applications in ADHD, identifying hotspots and trends to guide future research directions and promote clinical advancements in this field.Methods: Articles in the field of AI applications in ADHD were from the Web of Science Core Collection (WoSCC) database. Analysis was conducted using CiteSpace 6.3.R.1. Additionally, highimpact articles were analyzed.Results: A total of 342 articles from 50 countries and regions were included. The United States led with 103 articles, having the highest H-index of 21, followed by China with 69 articles, and England with 34 articles. The State University of New York System produced the most articles (11), and Frontiers in Psychiatry had the most articles (12). Burst keywords in 2022-2024 included "diagnosis", "network", "attention deficit hyperactivity disorder" and "artificial intelligence".AI technologies have become a prominent topic in ADHD research, with the United States, China, and England leading in articles and influence. The State University of New York System was the most influential institution, while Frontiers in Psychiatry stood out as the key journal. Utilizing networks and other AI technologies for diagnosing ADHD represents current hotspots and future trends, potentially offering objective indicators for ADHD.
Keywords: artificial intelligence, Attention Deficit Hyperactivity Disorder, diagnosis, hotspot, trend
Received: 16 Feb 2025; Accepted: 31 Mar 2025.
Copyright: © 2025 Wang, Jia, Liang, Weiwei, Yang and Mu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Zhou Weiwei, Shenzhen Eye Hospital, Shenzhen Eye Medical Center, Southern Medical University, Shenzhen, China
Weihua Yang, Shenzhen Eye Hospital, Shenzhen Eye Medical Center, Southern Medical University, Shenzhen, China
Jingfeng Mu, Shenzhen Eye Hospital, Shenzhen Eye Medical Center, Southern Medical University, Shenzhen, China
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