Title: Artificial Intelligence in Mental Health and Well-Being: Evolution, Current Applications, Future Challenges, and Emerging Evidence Show Chinese title

Title: 人工智能在心理健康与福祉中的应用：演变、当前应用、未来挑战和新兴证据

Abstract: Artificial Intelligence (AI) is a broad field that is upturning mental health care in many ways, from addressing anxiety, depression, and stress to increasing access, personalization of treatment, and real-time monitoring that enhances patient outcomes. The current paper discusses the evolution, present application, and future challenges in the field of AI for mental health and well-being. From the early chatbot models, such as ELIZA, to modern machine learning systems, the integration of AI in mental health has grown rapidly to augment traditional treatment and open innovative solutions. AI-driven tools provide continuous support, offering personalized interventions and addressing issues such as treatment access and patient stigma. AI also enables early diagnosis through the analysis of complex datasets, including speech patterns and social media behavior, to detect early signs of conditions like depression and Post-Traumatic Stress Disorder (PTSD). Ethical challenges persist, however, most notably around privacy, data security, and algorithmic bias. With AI at the core of mental health care, there is a dire need to develop strong ethical frameworks that ensure patient rights are protected, access is equitable, and transparency is maintained in AI applications. Going forward, the role of AI in mental health will continue to evolve, and continued research and policy development will be needed to meet the diverse needs of patients while mitigating associated risks. Show Chinese abstract

Abstract: 人工智能（AI）是一个广泛的领域，正在以多种方式革新心理健康护理，从解决焦虑、抑郁和压力到提高可及性、治疗个性化和实时监测，从而改善患者结果。 本文讨论了人工智能在心理健康和福祉领域的演变、当前应用和未来挑战。 从早期的聊天机器人模型，如ELIZA，到现代的机器学习系统，人工智能在心理健康领域的整合迅速发展，以增强传统治疗并开创创新解决方案。 基于人工智能的工具提供持续支持，提供个性化的干预措施，并解决治疗可及性和患者污名等问题。 人工智能还通过分析复杂的数据集，包括语音模式和社会媒体行为，实现早期诊断，以检测抑郁症和创伤后应激障碍（PTSD）等状况的早期迹象。 然而，伦理挑战依然存在，尤其是隐私、数据安全和算法偏见方面。 随着人工智能成为心理健康护理的核心，迫切需要制定强大的伦理框架，以确保保护患者权利、实现公平的可及性，并在人工智能应用中保持透明度。 展望未来，人工智能在心理健康领域的作用将持续演变，需要持续的研究和政策发展，以满足患者的多样化需求，同时减轻相关风险。