Results 181 to 190 of about 174,084,123 (286)

Local Recurrence and Oncological Outcomes After Transanal Total Mesorectal Excision With Intersphincteric Resection for Lower Rectal Cancer: A Nationwide Multicenter Cohort Study (Ta‐Ta‐Mi Study)

Annals of Gastroenterological Surgery, EarlyView.
The 3‐year local recurrence (LR), recurrence‐free survival, and overall survival rates were 7.3%, 79.5%, and 98.1%, respectively. Multivariable analysis identified circumferential resection margin (CRM)/radial margin (RM) positivity as an independent risk factor for LR.
Kan Tanabe, Shinichiro Mori, Kenji Baba, Takeru Matsuda, Ichiro Takemasa, Koji Okabayashi, Chikayoshi Tani, Tatsuya Manabe, Yoshihiro Kakeji, Takao Ohtsuka, Seiichiro Yamamoto, Takeshi Naitoh, Ta‐Ta‐Mi Study Group Collaborative of the Japan Society of Laparoscopic Colorectal Surgery   +12 more
wiley   +1 more source

From <b>"</b>assistant" to <b>"</b>autonomous": legal liability and ethical traceability frameworks for generative AI in clinical misdiagnosis scenarios, with a special focus on paediatrics. [PDF]

Front Digit Health
Xu S.
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Artificial intelligence in the EU Safe Hearts Plan: prediction alone is not enough. [PDF]

Lancet Reg Health Eur
van Kolfschooten H, Hattab G, Bächler F, Stefanini G.   +3 more
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Ethical and Legal Challenges of Partially and Fully Autonomous AI in Healthcare: Reinterpreting Liability and Preserving Trust. [PDF]

Bioethics
Iong MT.
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Algorithmic governance at work: a legal-sociological and policy analysis of AI regulation, institutional power and labor rights. [PDF]

Front Sociol
Olimid AP, Georgescu CM, Olimid DA, Georgescu SD, Gherghe CL.   +4 more
europepmc   +1 more source