Possible benefits, challenges, pitfalls, and future perspective of using ChatGPT in pathology

被引:3
作者
Aden, Durre [1 ]
Zaheer, Sufian [2 ]
Khan, Sabina [1 ]
机构
[1] Jamia Hamdard, Hamdard Inst Med Sci & Res, Dept Pathol, New Delhi, India
[2] Vardhman Mahavir Med Coll & Safdarjung Hosp, Dept Pathol, New Delhi, India
来源
REVISTA ESPANOLA DE PATOLOGIA | 2024年 / 57卷 / 03期
关键词
Artificial intelligence; ChatGPT; Chatbot; Machine learning; Pathology; ARTIFICIAL-INTELLIGENCE; MEDICINE; CANCER;
D O I
10.1016/j.patol.2024.04.003
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
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. (c) 2024 Sociedad Espanola de Anatom<acute accent>& imath;a Patolo<acute accent>gica. Published by Elsevier Espana, S.L.U. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页码:198 / 210
页数:13
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