Abstract：
The much-hyped artificial intelligence (AI) model called ChatGPT developed by Open AI can have great benefits for physicians, especially pathologists, by saving time so that they can use their time for more significant work. Generative AI is a special class of AI model, which uses patterns and structures learned from existing data and can create new data. Utilizing ChatGPT in Pathology offers a multitude of benefits, encompassing the summarization of patient records and its promising prospects in Digital Pathology, as well as its valuable contributions to education and research in this field. However, certain roadblocks need to be dealt like integrating ChatGPT with image analysis which will act as a revolution in the field of pathology by increasing diagnostic accuracy and precision. The challenges with the use of ChatGPT encompass biases from its training data, the need for ample input data, potential risks related to bias and transparency, and the potential adverse outcomes arising from inaccurate content generation. Generation of meaningful insights from the textual information which will be efficient in processing different types of image data, such as medical images, and pathology slides. Due consideration should be given to ethical and legal issues including bias.
摘要：
OpenAI开发的被大肆宣传的人工智能（AI）模型ChatGPT可以为医生带来巨大的好处。尤其是病理学家，通过节省时间，以便他们可以将时间用于更重要的工作。生成AI是一类特殊的AI模型，它使用从现有数据中学习的模式和结构，并可以创建新数据。在病理学中利用ChatGPT提供了许多好处，包括患者记录的总结及其在数字病理学中的有希望的前景，以及它对这一领域的教育和研究的宝贵贡献。然而,需要处理某些障碍，例如将ChatGPT与图像分析集成在一起，这将通过提高诊断的准确性和准确性来成为病理学领域的一场革命。使用ChatGPT的挑战包括来自其训练数据的偏见，需要充足的输入数据，与偏见和透明度相关的潜在风险，以及不准确的内容生成引起的潜在不利结果。从文本信息中生成有意义的见解，这将有效地处理不同类型的图像数据，比如医学图像，和病理幻灯片。应适当考虑道德和法律问题，包括偏见。
