Chat Generative Pre-Trained Transformer (ChatGPT) usage in healthcare

Yanhui Zhang , Haolong Pei , Shihan Zhen, Qian Li, Fengchao Liang
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引用次数: 3

Abstract

In recent years, with the rapid development of deep learning, artificial intelligence (AI) has gradually become a powerful assistant for humans in various aspects. The maturity and advancement of natural language models led to the birth of Chat Generative Pre-Trained Transformer (ChatGPT), generating great potential for healthcare applications. This review summarized the possible application prospects of ChatGPT in healthcare, assessed the limitations that still exist, and suggested possible improvements. In conclusion, the current version of ChatGPT can provide accurate and practical information for doctors and patients, help healthcare professionals to diagnose and treat, promote medical education, and improve the accuracy and efficiency of the healthcare system, etc. However, ChatGPT still has some limitations, as issues such as the accuracy of the information, privacy of data, ethical and moral sentiments still need to be solved. In the future, scientists still need to make efforts to achieve more accurate and effective medical applications with ChatGPT or other AI model by enhancing model performance, filling the data gap, and promoting the standardization of ethical and copyright issues.

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聊天生成预训练转换器(ChatGPT)在医疗保健中的使用
近年来,随着深度学习的快速发展,人工智能逐渐成为人类在各个方面的强大助手。自然语言模型的成熟和进步催生了聊天生成预训练转换器(ChatGPT),为医疗保健应用带来了巨大潜力。这篇综述总结了ChatGPT在医疗保健领域的可能应用前景,评估了仍然存在的局限性,并提出了可能的改进建议。总之,当前版本的ChatGPT可以为医生和患者提供准确实用的信息,帮助医疗保健专业人员进行诊断和治疗,促进医学教育,提高医疗保健系统的准确性和效率等。然而,ChatGPT仍然存在一些局限性,如信息的准确性、数据的隐私,伦理道德问题仍有待解决。未来,科学家仍需通过增强模型性能、填补数据空白、促进伦理和版权问题的标准化,努力利用ChatGPT或其他人工智能模型实现更准确、更有效的医疗应用。
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