Innovations in Gastric Cancer Surgery During Early Minimally Invasive Era and Future Perspectives
With continuing revelations in tumor biology and the emergence of artificial intelligence, new horizons for surgical innovation are opening. At the center of this transformative journey stands the innovative surgeon, driven by passion, guided by data, and steadfast in the commitment to patient safety and quality of life.
Reut El‐On, Young‐Woo Kim
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The Enactment and Implementation of Korea's Digital Medical Products Act: A Comparative Study Exploring Policy Implications. [PDF]
Chung J, Shin Y, Kim G, Lee M, Shin J.
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ABSTRACT Aim Artificial intelligence (AI)–based surgical video analysis can automate time‐consuming manual assessments and enable objective characterization of surgical workflows. We aimed to construct a large, multicenter, fully annotated dataset of robotic distal gastrectomy (RDG) videos and evaluate the feasibility and performance of an AI model for
Masaru Komatsu +8 more
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Policy Modeling Consistency index-based study on policy synergy for sustainable artificial intelligence in China's digital cultural industries. [PDF]
Qu C, Zhao X.
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Challenges and enablers in fluidization technology
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
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Fiscal decentralization, local government innovation preference, and enterprise technological innovation: Evidence from China. [PDF]
Tu J.
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This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
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Quantitative evaluation of China's artificial intelligence policies: A PMC index-based modeling approach. [PDF]
Liu X +5 more
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Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
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Synergistic emission reduction mechanism of command-and-control and market-based incentives: an empirical study based on core firms in supply chains. [PDF]
Wang L, Li R, Wang C, Li C.
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