Results 181 to 190 of about 920,907 (239)

Prognostic Impact of Circumferential Resection Margin in Minimally Invasive Surgery for Locally Advanced Rectal Cancer: A Multicenter Prospective Study

Annals of Gastroenterological Surgery, EarlyView.
This multicenter prospective study provides the first Japanese evidence that circumferential resection margin positivity after minimally invasive surgery is associated with poorer long‐term outcomes in locally advanced rectal cancer. As the cohort predominantly included patients treated with upfront surgery, these findings provide important evidence to
Atsushi Hamabe, Masaaki Ito, Shigeo Toda, Yusuke Suwa, Suguru Hasegawa, Masanori Kotake, Masafumi Inomata, Kazuki Ueda, Atsushi Ogura, Kiichi Sugimoto, Kei Kimura, Koki Otsuka, Tatsuki Noguchi, Koya Hida, Yasumitsu Hirano, Kazushige Kawai, Shigeru Yamagishi, Takeshi Naitoh, Ichiro Takemasa, on behalf of Japan Society of Laparoscopic Colorectal Surgery   +19 more
wiley   +1 more source

A heatmap-based deep learning framework for multi-modal registration of VIS, NIR, and thermal images in dermatological imaging. [PDF]

Front Artif Intell
Oniga M, Rus PF, Condorovici R, Sultana AE, Marin A, Cotruţǎ C, Costache DO, Blejan H, Jecan RC, Corciu C.   +9 more
europepmc   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Effect of Adding Erector Spinae Plane Block to a Multimodal Analgesic Regimen on Quality of Recovery After Laparoscopic Colon Cancer Surgery: A Prospective Randomized Controlled Trial. [PDF]

J Pain Res
Chen PS, Liu SH, Feng L, Li Y, Xue FS.
europepmc   +1 more source

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Water-sensitive photoacoustic temperature characterization at 960 nm in cerebral vascular phantoms with CT co-registration. [PDF]

Photoacoustics
Chai C, Wang K, Chen L, Zhang J, Mao Y, Ren X, Li Z, Jin F, Chen YH, Lei L, Sawan M.   +10 more
europepmc   +1 more source

From Spectral Maps to Biomedical Evidence: A Minimum Evidentiary Framework for Label‐Free Raman Imaging (Reply to Letter‐to‐the‐Editor)

Advanced Science, EarlyView.
Jiaxin Li, Xiaoyu Zhao, Jun Yu
wiley   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Progress of Multimodal Imaging: Bridging Orthodontics to Comprehensive Oral Multidisciplinary Care. [PDF]

Int Dent J
Feng Y, Jia Y, Lv L, Wei X, Hu M.
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