Das K P, Gavade P
Department of Computer Science, Christ University, Bengaluru, India.
Independent Practitioner, San Francisco, CA, United States.
Front Artif Intell. 2024 Oct 16;7:1435895. doi: 10.3389/frai.2024.1435895. eCollection 2024.
Anxiety disorders are psychiatric conditions characterized by prolonged and generalized anxiety experienced by individuals in response to various events or situations. At present, anxiety disorders are regarded as the most widespread psychiatric disorders globally. Medication and different types of psychotherapies are employed as the primary therapeutic modalities in clinical practice for the treatment of anxiety disorders. However, combining these two approaches is known to yield more significant benefits than medication alone. Nevertheless, there is a lack of resources and a limited availability of psychotherapy options in underdeveloped areas. Psychotherapy methods encompass relaxation techniques, controlled breathing exercises, visualization exercises, controlled exposure exercises, and cognitive interventions such as challenging negative thoughts. These methods are vital in the treatment of anxiety disorders, but executing them proficiently can be demanding. Moreover, individuals with distinct anxiety disorders are prescribed medications that may cause withdrawal symptoms in some instances. Additionally, there is inadequate availability of face-to-face psychotherapy and a restricted capacity to predict and monitor the health, behavioral, and environmental aspects of individuals with anxiety disorders during the initial phases. In recent years, there has been notable progress in developing and utilizing artificial intelligence (AI) based applications and environments to improve the precision and sensitivity of diagnosing and treating various categories of anxiety disorders. As a result, this study aims to establish the efficacy of AI-enabled environments in addressing the existing challenges in managing anxiety disorders, reducing reliance on medication, and investigating the potential advantages, issues, and opportunities of integrating AI-assisted healthcare for anxiety disorders and enabling personalized therapy.
焦虑症是一种精神疾病，其特征是个体在应对各种事件或情况时经历长期的广泛性焦虑。目前，焦虑症被认为是全球最普遍的精神疾病。药物治疗和不同类型的心理治疗是临床实践中治疗焦虑症的主要治疗方式。然而，已知将这两种方法结合起来比单独使用药物能产生更显著的益处。尽管如此，欠发达地区缺乏资源，心理治疗选择有限。心理治疗方法包括放松技巧、控制呼吸练习、可视化练习、控制暴露练习以及认知干预，如挑战消极思维。这些方法在焦虑症的治疗中至关重要，但熟练执行它们可能具有挑战性。此外，患有不同焦虑症的个体所开的药物在某些情况下可能会导致戒断症状。此外，面对面心理治疗的可及性不足，在初始阶段对焦虑症患者的健康、行为和环境方面进行预测和监测的能力有限。近年来，在开发和利用基于人工智能（AI）的应用程序和环境以提高各类焦虑症诊断和治疗的准确性和敏感性方面取得了显著进展。因此，本研究旨在确定人工智能支持的环境在应对焦虑症管理中的现有挑战、减少对药物的依赖以及研究整合人工智能辅助医疗治疗焦虑症并实现个性化治疗的潜在优势、问题和机会方面的疗效。
