Research Trends of Artificial Intelligence in Lung Cancer: A Combined Approach of Analysis With Latent Dirichlet Allocation and HJ‐Biplot Statistical Methods DOI Creative Commons
Javier de la Hoz-M, Karime Montes Escobar, Viorkis Pérez Ortíz

et al.

Pulmonary Medicine, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

Lung cancer (LC) remains one of the leading causes cancer-related mortality worldwide. With recent technological advances, artificial intelligence (AI) has begun to play a crucial role in improving diagnostic and treatment methods. It is understand how AI integrated into LC research identify main areas focus. The aim study was provide an updated insight research, analyzing evolving topics, geographical distribution, contributions journals. explores trends applied through novel approach combining latent Dirichlet allocation (LDA) topic modeling with HJ-Biplot statistical technique. A growing interest applications oncology observed, reflected significant increase publications, especially after 2017, coinciding availability computing resources.

Language: Английский

How does the use of artificial intelligence affect sustainability rating in Middle Eastern universities? DOI
Mohammad Hossein Ronaghi, Marzieh Ronaghi

Asian Education and Development Studies, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 4, 2025

Purpose Artificial Intelligence (AI) technology, having powerful capabilities and rapid development, has been able to move the structures of businesses organizational processes towards intelligent automation. The role digital transformation in universities educational institutions an increasing trend. New business digitization processes, other than advantages they bring about, might have different effects on environment sustainability. This study aims identify effective factors AI adoption effect using this technology their sustainable performance. Design/methodology/approach research is applied a quantitative approach. Universities selected for were ranked by Quacquarelli Symonds (QS). Of 111 QS listed Middle East 2023, 30 randomly selected, questionnaire was emailed 50 people (administrative, staff) from each university. Information related level acceptance use collected among university staff faculty members; moreover, relationship with universities’ performance scores assessed. Path analysis Smart PLS software used data analysis. Findings findings showed that performance, enjoyment, trust, social influence all positive at universities. Also, considered as factor improving Therefore, based exact AI, can manage activities better control environmental be availability education establishment justice society. Accordingly, facilitate executive decision-making, policymakers field science principals improve administrative, via investing addition development. Originality/value theoretical contribution research, designing model includes evaluating between

Language: Английский

Citations

1
A Holistic Approach to Implementing Artificial Intelligence in Lung Cancer DOI

Seyed Masoud HaghighiKian,

Ahmad Shirinzadeh-Dastgiri,

Mohammad Vakili-Ojarood

et al.

Indian Journal of Surgical Oncology, Journal Year: 2024, Volume and Issue: 16(1), P. 257 - 278

Published: Sept. 5, 2024

Language: Английский

Citations

7
Revolutionizing Pulmonary Diagnostics: A Narrative Review of Artificial Intelligence Applications in Lung Imaging DOI Open Access

Arman Sindhu,

Ulhas Jadhav, Babaji Ghewade

et al.

Cureus, Journal Year: 2024, Volume and Issue: unknown

Published: April 5, 2024

Artificial intelligence (AI) has emerged as a transformative force in healthcare, particularly pulmonary diagnostics. This comprehensive review explores the impact of AI on revolutionizing lung imaging, focusing its applications detecting abnormalities, diagnosing conditions, and predicting disease prognosis. We provide an overview traditional diagnostic methods highlight importance accurate efficient imaging for early intervention improved patient outcomes. Through lens AI, we examine machine learning algorithms, deep techniques, natural language processing analyzing radiology reports. Case studies examples showcase successful implementation diagnostics, alongside challenges faced lessons learned. Finally, discuss future directions, including integrating into clinical workflows, ethical considerations, need further research collaboration this rapidly evolving field. underscores potential enhancing accuracy, efficiency, accessibility healthcare.

Language: Английский

Citations

4
A robust transfer learning approach with histopathological images for lung and colon cancer detection using EfficientNetB3 DOI Creative Commons
Raquel Ochoa-Ornelas, Alberto Gudiño-Ochoa, J A García-Rodríguez

et al.

Healthcare Analytics, Journal Year: 2025, Volume and Issue: unknown, P. 100391 - 100391

Published: April 1, 2025

Language: Английский

Citations

0
Charting the rise of ONNX in swift image processing: a publications exploration DOI
Khaled Obaideen, Talal Bonny, Mohammad Al‐Shabi

et al.

Published: April 19, 2024

Language: Английский

Citations

0
Enhancing English abstract quality for non-English speaking authors using ChatGPT: A comparative study of Taiwan, Japan, China, and South Korea with slope graphs DOI Creative Commons
Willy Chou, Julie Chi Chow

Medicine, Journal Year: 2024, Volume and Issue: 103(40), P. e39796 - e39796

Published: Oct. 4, 2024

A clear and proficient English abstract is crucial for disseminating research findings to a global audience, significantly impacting the accessibility visibility of from non-English speaking countries. Despite adoption ChatGPT since November 30, 2022, comprehensive analysis improvements in abstracts scholarly journals has not been conducted. This study aims identify which authors Taiwan, Japan, China, South Korea (TJCS) have shown most improvement abstracts. Article published Medicine (Baltimore ) sourced Web Science Core Collection 2020 2023 were downloaded. mixed-methods approach was employed, combining quantitative linguistic quality indicators qualitative assessments coherence engagement using Rasch model. Ten determined by prompting ChatGPT. Two scenarios analyzed: (1) generative pretrained transformer (GPT) versus non-GPT (each with 30 2021) (2) TJCS comparison 100 2021 2023, respectively). Standardized mean differences compared paired samples t test. Visuals including forest plots, Wright Map, slope graph, scatter plot 95% control lines used examine 2 scenarios. No significant difference found between GPT logit scores 3.31 3.17, respectively ( P = .42), likely due small sample size (n 30); exists each country, Taiwan 2020. Among TJCS, showed greatest post-ChatGPT implementation, followed Korea. The improved, reflecting tool’s positive impact on enhancing technical language. demonstrates that can enhance regions, although assumption all use invalid impractical. underscore value artificial intelligence tools academic writing recommend further investigation into long-term implications integration communication.

Language: Английский

Citations

0
Research Trends of Artificial Intelligence in Lung Cancer: A Combined Approach of Analysis With Latent Dirichlet Allocation and HJ‐Biplot Statistical Methods DOI Creative Commons
Javier de la Hoz-M, Karime Montes Escobar, Viorkis Pérez Ortíz

et al.

Pulmonary Medicine, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

Lung cancer (LC) remains one of the leading causes cancer-related mortality worldwide. With recent technological advances, artificial intelligence (AI) has begun to play a crucial role in improving diagnostic and treatment methods. It is understand how AI integrated into LC research identify main areas focus. The aim study was provide an updated insight research, analyzing evolving topics, geographical distribution, contributions journals. explores trends applied through novel approach combining latent Dirichlet allocation (LDA) topic modeling with HJ-Biplot statistical technique. A growing interest applications oncology observed, reflected significant increase publications, especially after 2017, coinciding availability computing resources.

Language: Английский

Citations

0