Abstract
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.
Abstract (translated)
本文对将人工智能（AI）应用于评估文本中情感的方法进行了系统审查，特别关注将自然语言处理（NLP）和深度学习技术应用于此目的。我们详细审查了使用AI增强情感分析、分类情感和预测患者结果的研究。评论表明，用于情感分类的算法的精确度、AI模型对神经退行性疾病的有预测能力以及基于AI的系统的临床决策支持方面的进展是显著的。值得注意的是，AI应用在个性化治疗计划方面的使用已经通过将患者情感融入其中，帮助早期识别心理健康障碍而表现出增强。仍然存在一些挑战，包括确保AI应用的伦理应用、保护患者隐私以及解决算法过程中的偏见。然而，AI在医疗保健实践中的潜在革命性变革是不容忽视的，为未来提供了一个更具有知识和效率的医疗保健体系，同时也更加关注患者的需要。这次调查突显了AI在医疗保健中的 transformative 影响，全面阐述了其在检查医疗保健文本情感内容方面以及在患者护理过程中更富有同情心的趋势。研究结果主张在AI的分析能力与人类医疗保健方面实现和谐协同。
URL
https://arxiv.org/abs/2403.09762
