Transforming Medical Education: Assessing the Integration of ChatGPT Into Faculty Workflows at a Caribbean Medical School DOI Open Access
Joseph Cross,

Raymond Robinson,

Sumanth Devaraju

et al.

Cureus, Journal Year: 2023, Volume and Issue: unknown

Published: July 5, 2023

ChatGPT is a Large Language Model (LLM) which allows for natural language processing and interactions with users in conversational style. Since its release 2022, it has had significant impact many occupational fields, including medical education. We sought to gain insight into the extent type of usage at Caribbean school, American University Antigua College Medicine (AUA).We administered questionnaire 87 full-time faculty school via email. quantified made graphical representations results Qualtrics Experience Management software (QualtricsXM, Qualtrics, Provo, UT). Survey were investigated using bar graph comparisons absolute numbers percentages various categories related usage, descriptive statistics Likert scale questions.We found an estimated 33% currently ChatGPT. There was broad acceptance program by those who most believed should be option students. The primary task being used multiple choice question (MCQ) generation. concern incorrect information included output.ChatGPT been quickly adopted subset college faculty, demonstrating growing acceptance. Given level approval expressed about program, we believe will continue form important expanding part workflows AUA education general.

Language: Английский

Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions DOI Creative Commons
Alaa Abd‐Alrazaq, Rawan AlSaad, Dari Alhuwail

et al.

JMIR Medical Education, Journal Year: 2023, Volume and Issue: 9, P. e48291 - e48291

Published: May 17, 2023

The integration of large language models (LLMs), such as those in the Generative Pre-trained Transformers (GPT) series, into medical education has potential to transform learning experiences for students and elevate their knowledge, skills, competence. Drawing on a wealth professional academic experience, we propose that LLMs hold promise revolutionizing curriculum development, teaching methodologies, personalized study plans materials, student assessments, more. However, also critically examine challenges might pose by addressing issues algorithmic bias, overreliance, plagiarism, misinformation, inequity, privacy, copyright concerns education. As navigate shift from an information-driven educational paradigm artificial intelligence (AI)-driven paradigm, argue it is paramount understand both pitfalls This paper thus offers our perspective opportunities using this context. We believe insights gleaned analysis will serve foundation future recommendations best practices field, fostering responsible effective use AI technologies

Language: Английский

Citations

279

ChatGPT and the Future of Digital Health: A Study on Healthcare Workers’ Perceptions and Expectations DOI Open Access
Mohamad‐Hani Temsah, Fadi Aljamaan, Khalid H. Malki

et al.

Healthcare, Journal Year: 2023, Volume and Issue: 11(13), P. 1812 - 1812

Published: June 21, 2023

This study aimed to assess the knowledge, attitudes, and intended practices of healthcare workers (HCWs) in Saudi Arabia towards ChatGPT, an artificial intelligence (AI) Chatbot, within first three months after its launch. We also identify potential barriers AI Chatbot adoption among professionals. A cross-sectional survey was conducted 1057 HCWs Arabia, distributed electronically via social media channels from 21 February 6 March 2023. The evaluated HCWs' familiarity with ChatGPT-3.5, their satisfaction, future use, perceived usefulness practice. Of respondents, 18.4% had used ChatGPT for purposes, while 84.1% non-users expressed interest utilizing Chatbots future. Most participants (75.1%) were comfortable incorporating into be useful various aspects healthcare, such as medical decision-making (39.5%), patient family support (44.7%), literature appraisal (48.5%), research assistance (65.9%). majority (76.7%) believed could positively impact systems. Nevertheless, concerns about credibility source information provided by (46.9%) identified main barriers. Although recognize a valuable addition digital health early stages adoption, addressing regarding accuracy, reliability, medicolegal implications is crucial. Therefore, due unreliability, current forms other should not diagnostic or treatment purposes without human expert oversight. Ensuring trustworthiness dependability essential successful implementation settings. Future focus on evaluating clinical outcomes benchmarking performance against Chatbots.

Language: Английский

Citations

110

Decoding ChatGPT: A taxonomy of existing research, current challenges, and possible future directions DOI Creative Commons
Shahab Saquib Sohail, Faiza Farhat, Yassine Himeur

et al.

Journal of King Saud University - Computer and Information Sciences, Journal Year: 2023, Volume and Issue: 35(8), P. 101675 - 101675

Published: Aug. 2, 2023

Chat Generative Pre-trained Transformer (ChatGPT) has gained significant interest and attention since its launch in November 2022. It shown impressive performance various domains, including passing exams creative writing. However, challenges concerns related to biases trust persist. In this work, we present a comprehensive review of over 100 Scopus-indexed publications on ChatGPT, aiming provide taxonomy ChatGPT research explore applications. We critically analyze the existing literature, identifying common approaches employed studies. Additionally, investigate diverse application areas where found utility, such as healthcare, marketing financial services, software engineering, academic scientific writing, education, environmental science, natural language processing. Through examining these applications, gain valuable insights into potential addressing real-world challenges. also discuss crucial issues trustworthiness, emphasizing need for further development areas. Furthermore, identify future directions research, proposing solutions current speculating expected advancements. By fully leveraging capabilities can unlock across leading advancements conversational AI transformative impacts society.

Language: Английский

Citations

109

Exploring the role of ChatGPT in patient care (diagnosis and treatment) and medical research: A systematic review DOI Creative Commons
Ravindra Kumar Garg, Vijeth L Urs,

Akshay Anand Agrawal

et al.

Health Promotion Perspectives, Journal Year: 2023, Volume and Issue: 13(3), P. 183 - 191

Published: Sept. 11, 2023

Background: ChatGPT is an artificial intelligence based tool developed by OpenAI (California, USA). This systematic review examines the potential of in patient care and its role medical research. Methods: The was done according to PRISMA guidelines. Embase, Scopus, PubMed Google Scholar data bases were searched. We also searched preprint bases. Our search aimed identify all kinds publications, without any restrictions, on application research, publishing care. used term "ChatGPT". reviewed publications including original articles, reviews, editorial/ commentaries, even letter editor. Each selected records analysed using responses generated compiled a table. word table transformed PDF further ChatPDF. Results: full texts 118 articles. can assist with enquiries, note writing, decision-making, trial enrolment, management, decision support, research education. But solutions it offers are usually insufficient contradictory, raising questions about their originality, privacy, correctness, bias, legality. Due lack human-like qualities, ChatGPT’s legitimacy as author questioned when for academic writing. contents have concerns bias possible plagiarism. Conclusion: Although help treatment there issues accuracy, authorship, bias. serve "clinical assistant" be scholarly

Language: Английский

Citations

109

An exploratory survey about using ChatGPT in education, healthcare, and research DOI Creative Commons
Mohammad Hosseini, Catherine A. Gao, David Liebovitz

et al.

PLoS ONE, Journal Year: 2023, Volume and Issue: 18(10), P. e0292216 - e0292216

Published: Oct. 5, 2023

Objective ChatGPT is the first large language model (LLM) to reach a large, mainstream audience. Its rapid adoption and exploration by population at has sparked wide range of discussions regarding its acceptable optimal integration in different areas. In hybrid (virtual in-person) panel discussion event, we examined various perspectives use education, research, healthcare. Materials methods We surveyed in-person online attendees using an audience interaction platform (Slido). quantitatively analyzed received responses on questions about contexts. compared pairwise categorical groups with Fisher’s Exact. Furthermore, used qualitative analyze code discussions. Results 420 from estimated 844 participants (response rate 49.7%). Only 40% had tried ChatGPT. More trainees faculty. Those who were more interested it wider contexts going forwards. Of three discussed contexts, greatest uncertainty was shown education. Pros cons raised during for this technology Discussion There around uses healthcare, still much acceptability uses. respondents roles (trainee vs faculty staff). needed explore perceptions LLMs such as vital sectors healthcare research. Given involved risks unforeseen challenges, taking thoughtful measured approach would reduce likelihood harm.

Language: Английский

Citations

104

A Systematic Review and Meta-Analysis of Artificial Intelligence Tools in Medicine and Healthcare: Applications, Considerations, Limitations, Motivation and Challenges DOI Creative Commons
Hussain A. Younis, Taiseer Abdalla Elfadil Eisa, Maged Nasser

et al.

Diagnostics, Journal Year: 2024, Volume and Issue: 14(1), P. 109 - 109

Published: Jan. 4, 2024

Artificial intelligence (AI) has emerged as a transformative force in various sectors, including medicine and healthcare. Large language models like ChatGPT showcase AI’s potential by generating human-like text through prompts. ChatGPT’s adaptability holds promise for reshaping medical practices, improving patient care, enhancing interactions among healthcare professionals, patients, data. In pandemic management, rapidly disseminates vital information. It serves virtual assistant surgical consultations, aids dental simplifies education, disease diagnosis. A total of 82 papers were categorised into eight major areas, which are G1: treatment medicine, G2: buildings equipment, G3: parts the human body areas disease, G4: G5: citizens, G6: cellular imaging, radiology, pulse images, G7: doctors nurses, G8: tools, devices administration. Balancing role with judgment remains challenge. systematic literature review using PRISMA approach explored healthcare, highlighting versatile applications, limitations, motivation, challenges. conclusion, diverse applications demonstrate its innovation, serving valuable resource students, academics, researchers Additionally, this study guide, assisting field alike.

Language: Английский

Citations

91

ChatGPT in Dentistry: A Comprehensive Review DOI Open Access

Hind M Alhaidry,

Bader Fatani,

Jenan O Alrayes

et al.

Cureus, Journal Year: 2023, Volume and Issue: unknown

Published: April 30, 2023

Chat generative pre-trained transformer (ChatGPT) is an artificial intelligence chatbot that uses natural language processing can respond to human input in a conversational manner. ChatGPT has numerous applications the health care system including dentistry; it used diagnoses and for assessing disease risk scheduling appointments. It also role scientific research. In dental field, provided many benefits such as detecting maxillofacial abnormalities on panoramic radiographs identifying different restorations. Therefore, helps decreasing workload. But even with these benefits, one should take into consideration risks limitations of this chatbot. Few articles mentioned use dentistry. This comprehensive review represents data collected from 66 relevant using PubMed Google Scholar databases. aims discuss all published

Language: Английский

Citations

75

A systematic review of ChatGPT use in K‐12 education DOI Creative Commons
Peng Zhang, Gemma Tur

European Journal of Education, Journal Year: 2023, Volume and Issue: 59(2)

Published: Dec. 7, 2023

Abstract This systematic review, adhering to the PRISMA framework, investigated utilisation of ChatGPT, a language model developed by OpenAI, throughout Kindergarten 12th grade (K‐12) educational settings. The review synthesises findings from 13 selected papers, encompassing strengths, weaknesses, opportunities, and threats (SWOT) analysis ChatGPT's implementation in K‐12 education, implications for various stakeholders, practical recommendations. It is highlighted that ChatGPT could empower educators through curriculum, lesson planning, materials generation, differentiation, optimising student learning experience personalised learning. However, concerns regarding academic integrity output quality must be addressed. paper provides pedagogical recommendations ethical considerations utilise better. contributes ongoing discourse about AI, particularly role further inspiring future research practices facilitating effective integration into settings where collaboration arises as key role, particular under approach co‐design

Language: Английский

Citations

69

Mapping the global evidence around the use of ChatGPT in higher education: A systematic scoping review DOI
Aisha Naz Ansari, Sohail Ahmad, Sadia Muzaffar Bhutta

et al.

Education and Information Technologies, Journal Year: 2023, Volume and Issue: 29(9), P. 11281 - 11321

Published: Oct. 20, 2023

Language: Английский

Citations

64

Generative AI for Transformative Healthcare: A Comprehensive Study of Emerging Models, Applications, Case Studies, and Limitations DOI Creative Commons
Siva Sai, Aanchal Gaur,

Revant Sai

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 31078 - 31106

Published: Jan. 1, 2024

Generative artificial intelligence (GAI) can be broadly described as an system capable of generating images, text, and other media types with human prompts. GAI models like ChatGPT, DALL-E, Bard have recently caught the attention industry academia equally. applications span various industries art, gaming, fashion, healthcare. In healthcare, shows promise in medical research, diagnosis, treatment, patient care is already making strides real-world deployments. There has yet to any detailed study concerning scope Addressing this research gap, we explore several applications, scenarios, limitations We examine how ChatGPT DALL-E leveraged aid imaging, drug discovery, personalized simulation training, clinical trial optimization, mental health support, healthcare operations chatbots, movement simulation, a few more applications. Along cover four scenarios that employ GAI: visual snow syndrome molecular education, dentistry. also provide elaborate discussion on seven healthcare-customized LLMs Med-PaLM, BioGPT, DeepHealth, etc.,Since still evolving, it poses challenges lack professional expertise decision making, risk data privacy, issues integrating existing systems, problem bias which are elaborated work along challenges. put forward multiple directions for future

Language: Английский

Citations

64