ChatGPT: Impact of an artificial author on bibliometrics

Abstract

The use of Artificial Intelligence (AI) in medical science has been widely discussed and debated. Topol foresaw that AI, particularly deep learning, would be used in a variety of applications, with users ranging from specialty doctors to paramedics [1]. He discussed how deep neural networks (DNNs) of AI can help interpret medical scans, pathology slides, skin lesions, retinal images, electrocardiograms, endoscopy, faces, and vital signs. He has described its application in radiology, pathology, dermatology, ophthalmology, cardiology, mental health, and other fields [1]. Among several other AI applications used in our daily life, the next generation breakthrough, AI model ChatGPT-3 (https://chat.openai.com/) was launched on November 30, 2022 by OpenAI, California, which is well-known for its innovations in automated text generation. ChatGPT converses with the user, ascertains the user's needs, and responds accordingly. It can write a poem, a diet plan, recipes, letters, computer programmes, a eulogy, do copy editing, and so on.