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Academic Articles & Research Papers
Showing 20 of 4,879 academic articles
Renjie Wang, Wei Dong Pan, Lei Jin, Yuehan Li et al. • Reproduction
(2019)
Artificial intelligence (AI) has experienced rapid growth over the past few years, moving from the experimental to the implementation phase in various fields, including medicine. Advances in learning algorithms and theories, the availabilit...
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cc-by
DOI: https://doi.org/10.1530/rep-18-0523
PMC: 6733338
Amin Madani, Babak Namazi, Maria S. Altieri, Daniel A. Hashimoto et al. • Annals of Surgery
(2020)
OBJECTIVE: The aim of this study was to develop and evaluate the performance of artificial intelligence (AI) models that can identify safe and dangerous zones of dissection, and anatomical landmarks during laparoscopic cholecystectomy (LC)....
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Open Access
DOI: https://doi.org/10.1097/sla.0000000000004594
PMC: 8186165
Vangelis Marinakis • Energies
(2020)
European buildings are producing a massive amount of data from a wide spectrum of energy-related sources, such as smart meters’ data, sensors and other Internet of things devices, creating new research challenges. In this context, the aim o...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/en13071555
Heather Marriott, Renata Kabiljo, Guy P Hunt, Ahmad Al Khleifat et al. • Acta Neuropathologica Communications
(2023)
Abstract Amyotrophic lateral sclerosis (ALS) displays considerable clinical and genetic heterogeneity. Machine learning approaches have previously been utilised for patient stratification in ALS as they can disentangle complex disease lands...
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Open Access (DOAJ)
DOI: 10.1186/s40478-023-01686-8
Qiguang Liu, Yanyun Li, Zhenghao Wu, Junjie Cheng et al. • Advanced Science
(2026)
ABSTRACT In the era of artificial intelligence (AI)‐driven high‐performance computing, phase change materials (PCMs) are critical for high‐flux thermal management. PCMs are evolving toward high enthalpy, low interfacial thermal resistance (...
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Open Access (DOAJ)
DOI: 10.1002/advs.202521482
Peng Liu, Hugo Kyo Lee, Marco Casazza • Frontiers in Environmental Science
(2023)
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Open Access (DOAJ)
DOI: 10.3389/fenvs.2023.1255010
• London Review of Education
(2025)
The rise of generative artificial intelligence tools such as ChatGPT is transforming how knowledge is produced, accessed and used across educational systems. While these technologies offer new opportunities for efficiency and scalability, t...
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Open Access (DOAJ)
DOI: 10.14324/LRE.23.1.16
Marija Griniuk • Creativity Studies
(2026)
Through my work as an artist, educator, and activist, I aim to promote the interconnectedness of arts, management, creativity, curating, research, and technology by developing courses for art academies, art students, and interdisciplinary s...
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Open Access (DOAJ)
DOI: 10.3846/cs.2026.20122
Baleegh Elsir Ahmed Mohammed, Tanzeel Elsir Ahmed Mohammed, Anthony Paul Breitbach • Sudan Journal of Medical Sciences
(2026)
Background: Constructing high-quality multiple-choice questions (MCQs) is critical yet resource-intensive in medical education. Large language models (LLMs), such as ChatGPT, have become promising tools for generating MCQs in medical educat...
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Open Access (DOAJ)
DOI: 10.18502/sjms.v21i2.19868
Simon Parsons • The Knowledge Engineering Review
(1994)
The first conference on Uncertainty in Artificial Intelligence was held in 1985 by a group of people who felt that their views on the use of probability theory were not receiving a fair hearing from the rest of the Al community. At the time...
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Open Access
DOI: https://doi.org/10.1017/s0269888900006597
Alexandre Georgieff, Raphaela Hyee • OECD social employment and migration working papers
(2021)
Recent years have seen impressive advances in artificial intelligence (AI) and this has stoked renewed concern about the impact of technological progress on the labour market, including on worker displacement. This paper looks at the possib...
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DOI: https://doi.org/10.1787/c2c1d276-en
Jeong S, Park SY, Ku H, Eom BS et al. • Experimental & molecular medicine
(2026)
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PMC Public Access (View-Only)
DOI: 10.1038/s12276-026-01863-4
PMC: PMC13737076
Li Z, Zhang Z, Zhao Q, Zhu Z et al. • Experimental & molecular medicine
(2026)
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PMC Public Access (View-Only)
DOI: 10.1038/s12276-026-01864-3
PMC: PMC13737177
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Zunamys I. Carrero et al. • BMC Biology
(2024)
Abstract Background Homologous recombination deficiency (HRD) is recognized as a pan-cancer predictive biomarker that potentially indicates who could benefit from treatment with PARP inhibitors (PARPi). Despite its clinical significance, HR...
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Open Access (DOAJ)
DOI: 10.1186/s12915-024-02022-9
Ying Zhang, Zhengqiang Li, Yuanyuan Wei, Zongren Peng • Big Earth Data
(2021)
Following the accelerated development of urbanization and industrialization, atmospheric particulate matter has become a significant threat to public health globally. Environmental health studies usually use the mass concentration of fine p...
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Open Access (DOAJ)
DOI: 10.1080/20964471.2021.1918908
• Institute of Electrical and Electronics Engineers eBooks
(2009)
This chapter contains sections titled: References Artificial Intelligence through a Simulation of Evolution Natural Automata and Prosthetic Devices...
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DOI: https://doi.org/10.1109/9780470544600.ch7
H. James Wilson, Paul R. Daugherty, Nicola Morini-Bianzino • The MIT Press eBooks
(2018)
The threat that automation will eliminate a broad swath of jobs across the world economy is now well established. As artificial intelligence (AI) systems become ever more sophisticated, another wave of job displacement will almost certainly...
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DOI: https://doi.org/10.7551/mitpress/11645.003.0020
Lee K, Cho H, Kim JY, Hwang H et al. • Experimental & molecular medicine
(2026)
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PMC Public Access (View-Only)
DOI: 10.1038/s12276-026-01868-z
PMC: PMC13737051
Zulian F, Tirelli F, Castaldi B, Zanatta E et al. • Rheumatology (Oxford, England)
(2026)
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PMC Public Access (View-Only)
DOI: 10.1093/rheumatology/keag584
PMC: PMC13738805
Xiao M, Qin C, Chen J, Cheng Y et al. • Bioinformatics (Oxford, England)
(2026)
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PMC Public Access (View-Only)
DOI: 10.1093/bioinformatics/btag795
PMC: PMC13739047