Author:
Melo António,Romão Joana,Duarte Tiago
Abstract
This chapter delves into the transformative role of Artificial Intelligence (AI) in the diagnosis, treatment, and management of schizophrenia. It explores how AI’s advanced analytical capabilities can address the complexities of this psychiatric condition. The discussion begins with an overview of AI’s growing significance in healthcare, highlighting its potential in enhancing diagnostic precision and personalizing treatment strategies. Then, specific AI applications in schizophrenia care are examined, including early detection in at-risk individuals, AI-driven diagnostic tools, and the role of AI in guiding treatment choices. Furthermore, it discusses the challenges in translating AI’s theoretical potential into practical clinical applications, particularly in accurately distinguishing between various psychiatric conditions. The ethical, legal, and privacy concerns arising from AI’s integration into healthcare are also revised, emphasizing the need for balanced strategies and policies. This comprehensive examination of AI in schizophrenia care not only underscores its potential to revolutionize patient care but also highlights the crucial need for ongoing research and development to overcome current limitations and ethical challenges.
Cited by
2 articles.
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