Dear Editor, Over the decades, advancements in technological fields have greatly reshaped the drug development process in pharmaceutical companies. This drive in drug development process is due to an increase in computed generated prediction models and pre-screening of new chemical entities.1 In recent years, artificial intelligence such as ChatGPT has made its new entry, attracting many biopharmaceutical scientists, globally. ChatGPT is a large language model developed by OpenAI that is trained on a vast corpus of text data. It has been used in a variety of applications, including natural language processing, language translation, and text generation. One of the most promising applications of ChatGPT in the field of drug discovery is its ability to generate new chemical compounds. This is done by training the model on a dataset of known compounds and their properties.2 Once trained, the model can generate new chemical compounds that are similar to the compounds in the dataset. This can be useful in the drug discovery process as it can help to identify new compounds that have the potential to be developed into drugs. Another application of ChatGPT in drug discovery is its ability to predict the properties of new compounds. By training the model on a dataset of known compounds and their properties, it can predict the properties of new compounds that it has never seen before.2 This can be useful in the drug discovery process as it can help to identify compounds that have the potential to be developed into drugs

Purpose: Academic and other researchers have limited tools with which to address the current proliferation of predatory and hijacked journals. These journals can have negative effects on science, research funding, and the dissemination of information. As most predatory and hijacked journals are not error free, this study used ChatGPT, an artificial intelligence (AI) technology tool, to conduct an evaluation of journal quality. Methods: Predatory and hijacked journals were analyzed for reliability using ChatGPT, and the reliability of result have been discussed. Results: It shows that ChatGPT is an unreliable tool for journal quality evaluation for both hijacked and predatory journals. Conclusion: To show how to address this gap, an early trial version of Journal Checker Chatbot has been developed and is discussed as an alternative chatbot that can assist researchers in detecting hijacked journals.

Chat generative pre-trained transformer (GPT) is a large language model (LLM) artificial intelligence (AI). Indeed, ChatGPT is a chatbot able to participate in a conversation by pretending to be a human. ChatGPT is able to write convincing academic texts which are hard to be distinguished from a human-written manuscript. In the medical context, ChatGPT demonstrated its ability to write abstracts and texts related to the given questions. It could answer medical questions whether they are asked by students or researchers. ChatGPT is able to enhance the knowledge of students by designing tests and answering personalized questions, consequently reducing the burden on teachers. This AI system can participate in healthcare programs by providing information for patients and acting as the connector between patients and healthcare providers. Also, it could serve as a translator and a text generator for patients who speak a different language or those who have speech difficulties. ChatGPT is also able to provide and categorize medical information necessary for healthcare providers and physicians. Nonetheless, the major concern is the level of reliability of generated data. In some cases, ChatGPT produced misleading information and fake citations which warned medical researchers. Worryingly, these false data could distract the process of treatments and or the projects of medical researchers. Regarding the inevitable necessity of AI utilization in the medical field, strict criteria should be enforced in order to improve the efficacy and reduce the safety of the application of any AI chatbot like ChatGPT.

Dear Editor, ChatGPT (Generative Pre-trained Transformer), a breakthrough innovation by OpenAI) is being touted as a revolutionary tool with immense potential in an array of medical and pharmaceutical research and scientific peer review (SPR) processes.1,2 Studies revealed that ChatGPT might act as a complementary tool to the human SPR and aid in expediting the process, reduce reviewer fatigue, and shorten publication timelines.3,4 Of note, ChatGPT displayed remarkable competence in providing shrewd feedback, detecting methodological defects, and measuring the article’s impact on the advancement of the respective field, all with a fair inter-rater agreement.5 On the other side, a recent article by Liang et al raised an alarm regarding the perils of using ChatGPT in the peer review process. The study found remarkable alteration using ChatGPT in nearly 17% of the peer-review reports.6 The researchers have analyzed about 146 000 peer reviews submitted to the AI conferences (pre- and post-launch of ChatGPT) and found a remarkable upsurge in the use of certain buzzword adjectives like versatile, meticulous, intricate, etc. (the telltale signs of ChatGPT-written text) in the review reports.

Dear Editor-in-Chief: since the release of ChatGPT in November 2022, it has had a significant impact on various scientific fields (1-4), including education, writing, research, case reports, clinical consulting and coding. . . .

ChatGPT is a generative language model tool created by OpenAI, which is trained to follow instructions in a prompt and provide a detailed response in numerous languages and fields of study [1]. . . .

Introduction: ChatGPT a fluent chatbot developed by San Francisco-based Open artificial intelligence (AI), has made a storm that swept the world since its launch in November 2022. It is enabled people to communicate with a machine in almost any topic. ChatGPT passed 100 million users at the beginning of February 2023 which making it as the fastest expanding consumer application. There is tremendous potential to incorporate modern artificial intelligence including ChatGPT for medical education. Recently, ChatGPT reached the passing scores for a third-year medical student. 3 New era of AI will improve patient education and health literacy by helping people better evaluation of their wellbeing status and reliable understanding of the risks and benefits of interventions. Patients can ask multiple questions and receive reliable responses in a short period of time. Clinical workflow might utilize ChatGPT and future bots might help for writing medical notes, discharge summaries and scheduling patients. It can assist for making decision and treatment planning for the patients. It is a promise to ease physician`s repetitive daily tasks. For medical educators and faculties, ChatGPT can facilitate writing course syllabi, advice for learning activities, lecture presentation and act as smart assist with student assessment, quiz, and test questions. Faculties can create automatic grading and feedback to students. 4 You can ask questions about specific ideas, and it can help to generate brainstorming creative ideas. Furthermore, it can write essays, home works for the medical students. Next area is writing research papers, AIs can generate the draft of manuscripts by accessing to mega data. ChatGPT listed as author on research papers. Its legitimate application in article preparation has led to being cited as co-author on papers including at least two PubMed indexed articles. 5, 6 Despite meteoric rise of new AIs and ChatGPT, improper use and other challenges facing these technologies in medicine. 6 ChatGPT is not connected to the internet to provide current facts and literature. Instead, it programmed to find best words and texts to answer the questions. ChatGPT in its current status is “, multilingual but monocultural”,because it has learned from English language data (mainly US based) and is unable to reflect all cultures. 7 Another concern is access to sensitive medical information that might raise patient privacy concerns. Furthermore, it is not guaranteed that the data on which these types of AIs trained was unbiased. Any bias can lead to wrong clinical decision making. 8 Authorship is an important challenge for AIs. Springer Nature, the world`s largest academic publisher, has announced that AIs like ChatGPT are not eligible to be author of academic papers. 9 There are two main policies regarding authorship positions,the first one following ICMJE recommendations 10 and the second is the Nature criteria 11 which ChatGPT does not meet part of the necessary criteria. In the near future these tools will be widely adopted in the medical field with no doubt. It is critical to modify regulations of scientific writing and provide new control mechanisms to identify any unethical utilization of ChatGPT and upcoming tools in medicine.

Introduction In recent years, medical education has witnessed a rapid evolution in integrating technology to enhance learning and training. One such technology that holds great promise is ChatGPT (Generative Pre-trained Transformer), a form of conversational artificial intelligence (AI) (1). This editorial paper aims to explore the potential applications of ChatGPT in medical education and discuss how this technology can revolutionize how medical knowledge is imparted, accessed, and utilized. Enhancing Accessibility ChatGPT can improve medical education by providing an alternative and effective way of accessing information. According to a recent study, 76. 7% of participants believed that ChatGPT could positively influence the future of healthcare systems (2). ChatGPT has the potential to offer immediate access to precise and current medical information on various topics. This encompasses multiple subjects, including diseases, treatments, and medical procedures. It benefits medical students and professionals who need prompt access to information or clarification on specific topics (3). Simulated patient interactions One of the most significant advantages of ChatGPT in medical education lies in its ability to simulate patient interactions. ChatGPT can generate realistic patient case scenarios through natural language processing and machine learning algorithms, enabling students to practice history-taking, diagnosis, and treatment planning in a safe and controlled environment. This interactive learning experience can significantly enhance clinical decisionmaking skills, boost students’,confidence before they enter real-life clinical settings, and allow students to practice applying their knowledge to realistic situations (4). Continuing medical education ChatGPT can also revolutionize continuing medical education (CME) by providing healthcare professionals with a personalized and adaptive learning experience. With its ability to analyze individual learning needs and preferences, ChatGPT can offer tailored educational content, recommend relevant research articles, and facilitate discussions with experts in specific medical fields. This technology can empower healthcare professionals to stay updated with their specialties’,latest advancements and foster a culture of lifelong learning (5). Ethical considerations While the potential benefits of ChatGPT in medical education are immense, it is essential to address potential ethical concerns. These include possible infringement of copyright laws, medico-legal complications, and the potential for inaccuracies or prejudices in the generated content. ChatGPT-generated text can be identified by made-up quotes and irrelevant references, which can help to identify instances of plagiarism and other issues (6). Safeguarding patient privacy, ensuring accurate and evidence-based information, and monitoring the quality and reliability of ChatGPT platforms are critical considerations. Additionally, it is crucial to strike a balance between the use of ChatGPT and the importance of human interaction and mentorship in medical education (7). Conclusion Although ChatGPT has raised concerns about plagiarism and cheating, it can still be utilized in several ways to improve the quality of education. ChatGPT technology is promising in transforming medical education by enhancing accessibility, simulating patient interactions, and facilitating personalized learning experiences. However, its integration must be carried out thoughtfully, ensuring ethical considerations are met and maintaining the human touch in medical education. As we move forward, educators, policymakers, and technology developers must collaborate and harness the full potential of ChatGPT to revolutionize medical education and ultimately improve patient care. By leveraging this technology responsibly and ethically, we can shape a future where medical education is more inclusive, engaging, and effective.