Identification of kidney-related medications using AI from self-captured pill images DOI Creative Commons
M. Salman Sheikh, Benjamin Dreesman, Erin F. Barreto

et al.

Renal Failure, Journal Year: 2024, Volume and Issue: 46(2)

Published: Sept. 11, 2024

ChatGPT, a state-of-the-art large language model, has shown potential in analyzing images and providing accurate information. This study aimed to explore ChatGPT-4 as tool for identifying commonly prescribed nephrology medications across different versions testing dates.

Language: Английский

A narrative review of applications and enhancements of ChatGPT in respiratory medicine DOI Creative Commons
Jun Lin, Zheng Hua, Liu Zhang

et al.

Clinical eHealth, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
Artificial intelligence in kidney transplantation: a 30-year bibliometric analysis of research trends, innovations, and future directions DOI Creative Commons
Yulong He,

Pin Lin Liu,

Tao Wei

et al.

Renal Failure, Journal Year: 2025, Volume and Issue: 47(1)

Published: Feb. 5, 2025

Kidney transplantation is the definitive treatment for end-stage renal disease (ESRD), yet challenges persist in optimizing donor-recipient matching, postoperative care, and immunosuppressive strategies. This study employs bibliometric analysis to evaluate 890 publications from 1993 2023, using tools such as CiteSpace VOSviewer, identify global trends, research hotspots, future opportunities applying artificial intelligence (AI) kidney transplantation. Our highlights United States leading contributor field, with significant outputs Mayo Clinic authors like Cheungpasitporn W. Key themes include AI-driven advancements donor deep learning post-transplant monitoring, machine algorithms personalized therapies. The findings underscore a rapid expansion AI applications since 2017, emerging trends medicine, multimodal data fusion, telehealth. review provides comprehensive resource researchers clinicians, offering insights into evolution of guiding studies toward transformative science.

Language: Английский

Citations

0
Exploring threshold dynamics of a behavioral epidemic model featuring two susceptible classes and second-order jump–diffusion DOI
Yassine Sabbar

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 186, P. 115216 - 115216

Published: July 4, 2024

Language: Английский

Citations

3
Unveiling the bright side and dark side of AI-based ChatGPT : a bibliographic and thematic approach DOI
Chandan Kumar Tiwari, Mohd Abass Bhat, Abel Dula Wedajo

et al.

Journal of Decision System, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 27

Published: Oct. 11, 2024

The current research endeavour aims to examine the most recent advancements pertaining AI-powered ChatGPT in scholarly literature. Moreover, this examines both positive and negative aspects of utilisation across several sectors including business, research, society. data was collected from Scopus, using Preferred Reporting Items for Systematic Meta-Analysis (PRISMA) methodology. process scientific mapping carried out, wherein biblometric thematic analysis conducted. results suggest that there is a significant amount being conducted on subject, particularly fields healthcare education. Thematic reveals wide range issues, examination impact technology decision-making processes address complex business challenges. Theoretical perspectives underscore significance ethical deliberations, regulatory structures, interdisciplinary cooperation, user instruction advancement implementation Artificial Intelligence systems.

Language: Английский

Citations

2
Identification of kidney-related medications using AI from self-captured pill images DOI Creative Commons
M. Salman Sheikh, Benjamin Dreesman, Erin F. Barreto

et al.

Renal Failure, Journal Year: 2024, Volume and Issue: 46(2)

Published: Sept. 11, 2024

ChatGPT, a state-of-the-art large language model, has shown potential in analyzing images and providing accurate information. This study aimed to explore ChatGPT-4 as tool for identifying commonly prescribed nephrology medications across different versions testing dates.

Language: Английский

Citations

0