通过人工智能实现情感智能：NLP与深度学习在医疗文本分析中的应用
Emotional Intelligence Through Artificial Intelligence : NLP and Deep Learning in the Analysis of Healthcare Texts
AI总结：
本研究系统综述了人工智能结合NLP与深度学习分析医疗文本情感的方法，展示了其在情感分类、预后预测和临床决策支持上的进展，并强调AI赋能个性化治疗与早期心理健康识别，同时指出伦理、隐私和偏见挑战，主张AI分析力与人文关怀协同以变革医疗实践。
摘要：
本手稿对人工智能在医疗相关文本情感评估中的应用进行了系统性的考察，特别关注自然语言处理（NLP）和深度学习技术的融合。我们详细审查了众多利用人工智能来增强情感分析、情绪分类以及基于临床叙述、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进步、人工智能模型对神经退行性疾病的预后能力，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，人工智能应用在整合患者情感并促进心理健康障碍的早期识别方面，展现了对个性化治疗方案的增强作用。仍然存在诸多挑战，包括确保人工智能应用的伦理性、保护患者机密性以及解决算法流程中潜在的偏见。尽管如此，人工智能彻底改变医疗实践的潜力是毋庸置疑的，它提供了一个未来，使医疗不仅更加知识渊博和高效，而且更加富有同理心并以患者需求为中心。这项研究强调了人工智能对医疗的变革性影响，全面深入地理解了其在检查医疗文本情感内容中的作用，并突出了迈向更具人文关怀的患者护理方式的轨迹。研究结果倡导人工智能的分析能力与医疗的人文方面之间形成和谐的协同作用。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
