Sahoo Jyoti Prakash, Narayan Birendra Naik, Santi N Simple
Kalinga Institute of Medical Sciences.
Veer Surendra Sai Institute Of Medical Science And Research.
Consort Psychiatr. 2023 Sep 29;4(3):72-76. doi: 10.17816/CP13626.
As one of the largest contributors of morbidity and mortality, psychiatric disorders are anticipated to triple in prevalence over the coming decade or so. Major obstacles to psychiatric care include stigma, funding constraints, and a dearth of resources and psychiatrists. The main thrust of our present-day discussion has been towards the direction of how machine learning and artificial intelligence could influence the way that patients experience care. To better grasp the issues regarding trust, privacy, and autonomy, their societal and ethical ramifications need to be probed. There is always the possibility that the artificial mind could malfunction or exhibit behavioral abnormalities. An in-depth philosophical understanding of these possibilities in both human and artificial intelligence could offer correlational insights into the robotic management of mental disorders in the future. This article looks into the role of artificial intelligence, the different challenges associated with it, as well as the perspectives in the management of such mental illnesses as depression, anxiety, and schizophrenia.
作为发病率和死亡率的最大贡献因素之一，预计在未来十年左右，精神疾病的患病率将增至三倍。精神科护理的主要障碍包括污名化、资金限制以及资源和精神科医生的匮乏。我们当前讨论的主要方向是机器学习和人工智能如何影响患者接受护理的方式。为了更好地理解信任、隐私和自主权问题，需要探究它们的社会和伦理影响。人工智能总是有可能出现故障或表现出行为异常。对人类和人工智能中这些可能性进行深入的哲学理解，可为未来精神障碍的机器人管理提供相关见解。本文探讨了人工智能的作用、与之相关的不同挑战，以及在抑郁症、焦虑症和精神分裂症等精神疾病管理方面的观点。
