ChatGPT utilization within the building blocks of the healthcare services: A mixed-methods study DOI Creative Commons
Payam Shojaei, Mohsen Khosravi,

Y. Jafari

et al.

Digital Health, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 1, 2024

Introduction ChatGPT, as an AI tool, has been introduced in healthcare for various purposes. The objective of the study was to investigate principal benefits ChatGPT utilization services and identify potential domains its expansion within building blocks industry. Methods A comprehensive three-phase conducted employing mixed methods. initial phase comprised a systematic review thematic analysis data. In subsequent phases, questionnaire, developed based on findings from first phase, distributed sample eight experts. prioritize blocks, utilizing gray SWARA (Stepwise Weight Assessment Ratio Analysis) MABAC (Multi-Attributive Border Approximation Area Comparison), respectively. Results yielded 74 studies. data these studies identified 11 unique themes. second method, clinical decision-making (weight: 0.135), medical diagnosis 0.098), procedures 0.070), patient-centered care 0.053) emerged most significant benefit sector. Subsequently, it determined that demonstrated highest level usefulness information infrastructure, communication technologies blocks. Conclusion concluded that, despite healthcare, exhibits more pronounced growth informational industry's rather than intervention services.

Language: Английский

From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare DOI Creative Commons
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal

et al.

Current Research in Biotechnology, Journal Year: 2023, Volume and Issue: 7, P. 100164 - 100164

Published: Nov. 22, 2023

The medicine and healthcare sector has been evolving advancing very fast. advancement initiated shaped by the applications of data-driven, robust, efficient machine learning (ML) to deep (DL) technologies. ML in medical is developing quickly, causing rapid progress, reshaping medicine, improving clinician patient experiences. technologies evolved into data-hungry DL approaches, which are more robust dealing with data. This article reviews some critical data-driven aspects intelligence field. In this direction, illustrated recent progress science using two categories: firstly, development data uses and, secondly, Chabot particularly on ChatGPT. Here, we discuss ML, DL, transition requirements from DL. To science, illustrate prospective studies image data, newly interpretation EMR or EHR, big personalized dataset shifts artificial (AI). Simultaneously, recently developed DL-enabled ChatGPT technology. Finally, summarize broad role significant challenges for implementing healthcare. overview paradigm shift will benefit researchers immensely.

Language: Английский

Citations

63
Overview of Chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science DOI Creative Commons
Chiranjib Chakraborty, Soumen Pal, Manojit Bhattacharya

et al.

Frontiers in Artificial Intelligence, Journal Year: 2023, Volume and Issue: 6

Published: Oct. 31, 2023

The release of ChatGPT has initiated new thinking about AI-based Chatbot and its application drawn huge public attention worldwide. Researchers doctors have started the promise AI-related large language models in medicine during past few months. Here, comprehensive review highlighted overview their current role medicine. Firstly, general idea Chatbots, evolution, architecture, medical use are discussed. Secondly, is discussed with special emphasis medicine, architecture training methods, diagnosis treatment, research ethical issues, a comparison other NLP illustrated. article also limitations prospects ChatGPT. In future, these will immense healthcare. However, more needed this direction.

Language: Английский

Citations

60
Will ChatGPT/GPT-4 be a Lighthouse to Guide Spinal Surgeons? DOI

Yongbin He,

Hai‐Feng Tang,

Dongxue Wang

et al.

Annals of Biomedical Engineering, Journal Year: 2023, Volume and Issue: 51(7), P. 1362 - 1365

Published: April 18, 2023

Language: Английский

Citations

50
The Potential of GPT-4 as an AI-Powered Virtual Assistant for Surgeons Specialized in Joint Arthroplasty DOI

Kunming Cheng,

Zhiyong Li, Cheng Li

et al.

Annals of Biomedical Engineering, Journal Year: 2023, Volume and Issue: 51(7), P. 1366 - 1370

Published: April 18, 2023

Language: Английский

Citations

42
A Domain-Specific Next-Generation Large Language Model (LLM) or ChatGPT is Required for Biomedical Engineering and Research DOI
Soumen Pal, Manojit Bhattacharya, Sang‐Soo Lee

et al.

Annals of Biomedical Engineering, Journal Year: 2023, Volume and Issue: 52(3), P. 451 - 454

Published: July 10, 2023

Language: Английский

Citations

42
Generative AI as a transformative force for innovation: a review of opportunities, applications and challenges DOI
Soraya Sedkaoui,

Rafika Benaichouba

European Journal of Innovation Management, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 1, 2024

Purpose This study examines the existing literature on generative artificial intelligence (Gen AI) and its impact across many sectors. analysis explores potential, applications, challenges of Gen AI in driving innovation creativity generating ideas. Design/methodology/approach The adopts a comprehensive review approach, carefully assessing current scientific articles published from 2022 to 2024. trends insights derived research. Findings indicates that has significant potential augment human processes as collaborative partner. However, it is imperative prioritize responsible development ethical frameworks order effectively tackle biases, privacy concerns, other challenges. significantly transforming business models, processes, value propositions several industries, but with varying degrees effect. indicate also despite theory-driven approach investigating AI's creative innovative cutting-edge applications research prioritizes examining possibilities models. Research limitations/implications Although this offers picture great possibilities, concurrently underlines necessity for deep knowledge nuances fully harness capabilities. findings continuous exploration efforts are required address assure implementation. Therefore, more needed enhancing human-AI collaboration defining norms varied circumstances. Originality/value presents relevant transformational an catalyst. It emphasizes major issues integration.

Language: Английский

Citations

21
Examining the Validity of ChatGPT in Identifying Relevant Nephrology Literature: Findings and Implications DOI Open Access
Supawadee Suppadungsuk, Charat Thongprayoon, Pajaree Krisanapan

et al.

Journal of Clinical Medicine, Journal Year: 2023, Volume and Issue: 12(17), P. 5550 - 5550

Published: Aug. 25, 2023

Literature reviews are valuable for summarizing and evaluating the available evidence in various medical fields, including nephrology. However, identifying exploring potential sources requires focus time devoted to literature searching clinicians researchers. ChatGPT is a novel artificial intelligence (AI) large language model (LLM) renowned its exceptional ability generate human-like responses across tasks. whether can effectively assist professionals relevant unclear. Therefore, this study aimed assess effectiveness of references We keyed prompt "Please provide Vancouver style their links recent on… name topic" into ChatGPT-3.5 (03/23 Version). selected all results provided by assessed them existence, relevance, author/link correctness. recorded each resource's citations, authors, title, journal name, publication year, digital object identifier (DOI), link. The relevance correctness resource were verified on Google Scholar. Of total 610 nephrology literature, only 378 (62%) existed, while 31% fabricated, 7% citations incomplete references. Notably, 122 (20%) authentic. Additionally, 256 (68%) found be incorrect, DOI was inaccurate 206 (54%) Moreover, among those with link provided, correct 20% cases, 3% irrelevant. an analysis specific topics electrolyte, hemodialysis, kidney stones that >60% or misleading, less reliable authorship ChatGPT. Based our findings, use as sole not recommended. Future studies could explore ways improve AI models' performance literature.

Language: Английский

Citations

32
A bibliometric analysis of generative AI in education: current status and development DOI
Jun Liu, Cong Wang, Zile Liu

et al.

Asia Pacific Journal of Education, Journal Year: 2024, Volume and Issue: 44(1), P. 156 - 175

Published: Jan. 2, 2024

The rapid advancement of generative AI technology offers new opportunities for the innovation and transformation education. However, this also brings forth risks challenges, including potential to exacerbate educational inequality integrity. This study aims address extensive controversies surrounding application in education by providing an objective comprehensive understanding its current state, development contexts. Using CiteSpace VOSviewer software, we conducted visual analyses relevant literature from Web Science core collection pertaining education.Subsequently, identified productive journals, articles, collaboration patterns, article hotspots, prevalent topics field.This will facilitate promotion in-depth research practical implementation

Language: Английский

Citations

15
Large language models in medical and healthcare fields: applications, advances, and challenges DOI Creative Commons
Dandan Wang, Shiqing Zhang

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(11)

Published: Sept. 20, 2024

Language: Английский

Citations

14
ChatGPT in medicine: A cross-disciplinary systematic review of ChatGPT’s (artificial intelligence) role in research, clinical practice, education, and patient interaction DOI Creative Commons
Afia Fatima, Muhammad Ashir Shafique, Khadija Alam

et al.

Medicine, Journal Year: 2024, Volume and Issue: 103(32), P. e39250 - e39250

Published: Aug. 9, 2024

ChatGPT, a powerful AI language model, has gained increasing prominence in medicine, offering potential applications healthcare, clinical decision support, patient communication, and medical research. This systematic review aims to comprehensively assess the of ChatGPT healthcare education, research, writing, practice while also delineating limitations areas for improvement.

Language: Английский

Citations

13