This manuscript presents a methodical examination of the utilization of Artificial Intelligence in the assessment of emotions in texts related to healthcare, with a particular focus on the incorporation of Natural Language Processing and deep learning technologies. We scrutinize numerous research studies that employ AI to augment sentiment analysis, categorize emotions, and forecast patient outcomes based on textual information derived from clinical narratives, patient feedback on medications, and online health discussions. The review demonstrates noteworthy progress in the precision of algorithms used for sentiment classification, the prognostic capabilities of AI models for neurodegenerative diseases, and the creation of AI-powered systems that offer support in clinical decision-making. Remarkably, the utilization of AI applications has exhibited an enhancement in personalized therapy plans by integrating patient sentiment and contributing to the early identification of mental health disorders. There persist challenges, which encompass ensuring the ethical application of AI, safeguarding patient confidentiality, and addressing potential biases in algorithmic procedures. Nevertheless, the potential of AI to revolutionize healthcare practices is unmistakable, offering a future where healthcare is not only more knowledgeable and efficient but also more empathetic and centered around the needs of patients. This investigation underscores the transformative influence of AI on healthcare, delivering a comprehensive comprehension of its role in examining emotional content in healthcare texts and highlighting the trajectory towards a more compassionate approach to patient care. The findings advocate for a harmonious synergy between AI's analytical capabilities and the human aspects of healthcare.

翻译：本文系统性地研究了人工智能在医疗相关文本情感评估中的应用，特别关注自然语言处理与深度学习技术的融合。我们深入剖析了多项利用人工智能增强情感分析、情感分类，以及基于临床叙事、患者用药反馈和在线健康讨论等文本信息预测患者预后的研究。该综述展示了情感分类算法精度的显著提升、人工智能模型对神经退行性疾病预测能力的进步，以及为临床决策提供支持的人工智能驱动系统的创建。值得注意的是，人工智能应用通过整合患者情感因素，在个性化治疗方案优化和心理健康障碍早期识别方面展现出显著成效。当前仍存在确保人工智能伦理应用、保护患者隐私以及解决算法潜在偏见等挑战。然而，人工智能革新医疗实践的潜力毋庸置疑，它将开创一个不仅更智能高效，而且更具同理心、更以患者需求为中心的医疗未来。本研究揭示了人工智能对医疗领域的变革性影响，全面阐释了其在医疗文本情感分析中的作用，并指明了一条迈向更人性化医疗服务的路径。研究结论倡导人工智能分析能力与医疗人文关怀的和谐共生。