ChatGPT: Temptations of Progress

Doshi, Rushabh; Bajaj, Simar S.; Krumholz, Harlan M.

doi:10.1080/15265161.2023.2180110

Cited by 37 publications

(24 citation statements)

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“…monthly active users in February 2013, about two and a half years after its launch in 2010. As of June 2021, Instagram had over 1 billion monthly active users.ChatGPT, or Chat Generative Pre-Trained Transformer, is an AI-powered chatbot capable of processing and generating natural language text, providing human-like responses to a wide range of questions and prompts (Doshi, Bajaj, Krumholz, 2023). Recently, large language models have gained popularity and have been employed across various elds, including content creation, language translation, and text summarization (Tate et al, 2023).…”

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confidence: 99%

“…Chatbots have evolved by integrating deep learning with language models, addressing various NLP-related challenges (Kushwaha, Kumar, and Kar, 2021). ChatGPT has expanded chatbot capabilities in this context by incorporating deep learning and Generative Pre-Trained Transformer-based language models (Radford et al, 2018).Combining unsupervised pre-training with supervised ne-tuning, ChatGPT can effectively respond to user-generated queries (Doshi et al, 2023). The GPT-3 model consists of 175 billion parameters, focused on a diverse array of naturally occurring text sourced from the internet, such as webpages, books, research articles, and social conversations (Dwivedi et al, 2023).ChatGPT has proven to be a valuable resource in various elds, such as poetry, essay writing, business correspondence, research, software development, and testing (Tung, 2023).…”

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confidence: 99%

“…Combining unsupervised pre-training with supervised ne-tuning, ChatGPT can effectively respond to user-generated queries (Doshi et al, 2023). The GPT-3 model consists of 175 billion parameters, focused on a diverse array of naturally occurring text sourced from the internet, such as webpages, books, research articles, and social conversations (Dwivedi et al, 2023).…”

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confidence: 99%

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University students as early adopters of ChatGPT: Innovation Diffusion Study

Raman¹,

Мандал²,

Das³

et al. 2023

Preprint

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OpenAI's ChatGPT, an advanced AI-driven language model, is experiencing rapid adoption, with 100 million users in just three months. This study, involving 288 university students, aims to identify factors determining students' intentions to use ChatGPT in higher education, using Rogers' perceived theory of attributes as a framework. The study examines five factors influencing ChatGPT adoption: Relative Advantage, Compatibility, Ease of Use, Observability, and Trialability. Results indicate that five factors significantly influenced ChatGPT adoption. Students view it as innovative, compatible, and user-friendly. Students view ChatGPT as an innovative resource, enabling the independent pursuit of educational goals. Consequently, the benefits provided by ChatGPT in education motivate students to utilize the tool. The study's gender-based analysis reveals that male students prioritize compatibility, ease of use, and observability, while female students prefer the ease of use, compatibility, relative advantage, and trialability in ChatGPT adoption. Our study presents a sentiment analysis approach utilizing transfer learning and K-means, considering the impact of personal bias on expressed opinions. While the K-means algorithm can create distinct clusters (Neutral, Negative, and Positive), the accuracy demonstrates a bias towards the male gender. Understanding adopter categories, such as innovators and early adopters, can help strategize the successful diffusion of innovations like ChatGPT to different segments of society. However, its use in academia raises ethical concerns, such as diminished creativity and academic integrity violations. Similar to social media platforms' rapid diffusion, ChatGPT has the potential to transform communication and information-sharing. Factors like ease of use, accessibility, and connection capabilities contribute to both innovations' appeal. Analyzing social media platforms' diffusion can offer insights into ChatGPT's potential adoption trajectory.

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University students as early adopters of ChatGPT: Innovation Diffusion Study

Raman¹,

Мандал²,

Das³

et al. 2023

Preprint

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“…This notion is supported by the medical community as AI is growing and holds immense promise in medicine 2,6,[33][34][35] . However, since its launch in November 2022, ChatGPT has raised skepticism in the scientific community regarding threats to the originality of scientific work 10,11,[36][37][38][39] . In particular, there is a lot of concern regarding the possibility that chatbots can be used to write scientific material 8 .…”

Section: Further Developmentsmentioning

confidence: 99%

ChatGPT in glioma patient adjuvant therapy decision making: ready to assume the role of a doctor in the tumour board?

Haemmerli

Sveikata

Nouri

et al. 2023

Preprint

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Introduction ChatGPT, a novel AI-based chatbot, sparked a lot of interest in the scientific community. Complex central CNS tumour cases require multidisciplinary expert recommendations that incorporate multimodal disease information. Thus, the potential of ChatGPT to integrate comprehensive treatment information may be of tremendous benefit for CNS tumour decision-making. We evaluated the ChatGPT recommendations for glioma management by a panel of CNS tumour experts. Methods We randomly selected 10 patients with primary CNS gliomas discussed at our institution's Tumour Board. Patients' clinical status, surgical, imaging, and immuno-pathology-related information was provided to ChatGPT and seven CNS tumour experts. The chatbot was asked to give the most likely diagnosis, the adjuvant treatment choice, and the regimen while considering the patient's functional status. The experts rated the AI-based recommendations from 0 (complete disagreement) to 10 (complete agreement). An intraclass correlation agreement (ICC) was used to measure the inter-rater agreement. Results Eight patients (80%) met the criteria for glioblastoma and two (20%) were low-grade gliomas. The experts rated the quality of ChatGPT recommendations as poor for diagnosis (median 3, IQR 1-7.8, ICC 0.9, 95% CI 0.7-1.0), good for treatment recommendation (7, IQR 6-8, ICC 0.8, 95% CI 0.4-0.9), good for therapy regimen (7, IQR 4-8, ICC 0.8, 95% CI 0.5-0.9), moderate for functional status consideration (6, IQR 1-7, ICC 0.7, 95% CI 0.3-0.9), and moderate for overall agreement with the recommendations (5, IQR 3-7, ICC 0.7, 95% CI 0.3-0.9). No differences were observed between the glioblastomas and low-grade glioma ratings. Conclusions ChatGPT performed poorly in classifying glioma types but was good for adjuvant treatment recommendations as evaluated by CNS Tumour Board experts. Even though the ChatGPT lacks the precision to replace expert opinion, it may become a promising tool to supplement experts, especially in low-resource settings.

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“…ChatGPT is a well-known representative product of AI. In essence, ChatGPT is an AI model for natural language processing, and features a number of functions, including chatting, creation, and code writing [8] . GPT, short for Generative Pretrained Transformer, is distinct from previous search engines and can generate new content on its own [8] .…”

Section: The Essence Of Ai and Chatgptmentioning

confidence: 99%

Artificial intelligence in medical practice: current status and future perspectives

Dai

2023

Cardiology Plus

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Artificial intelligence (AI) is rapidly evolving due to fast-pace advances in computing power, big data, and machine learning algorithms [1,2] . ChatGPT is a representative of AI use and has attracted attention and enthusiastic discussion around the world [3,4] . AI has transformed the way of our life in many ways, and the impact is likely to continue growing in the coming years. In this article, we summarize the basic logics and elements of AI medicine and potential use of ChatGPT in research as well as in clinical practice.

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ChatGPT: Temptations of Progress

Cited by 37 publications

References 0 publications

University students as early adopters of ChatGPT: Innovation Diffusion Study

University students as early adopters of ChatGPT: Innovation Diffusion Study

ChatGPT in glioma patient adjuvant therapy decision making: ready to assume the role of a doctor in the tumour board?

Artificial intelligence in medical practice: current status and future perspectives

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