Results 81 to 90 of about 36,803 (257)

Evaluation of Experienced Manipulation Characteristics in Robotic Surgery Using Log Data From the Hinotori Surgical System

Annals of Gastroenterological Surgery, EarlyView.
This study analyzed log data from the Japanese hinotori surgical robot to characterize manipulation performed by experienced surgeons in robotic surgery. Compared with less‐experienced surgeons, the experienced group demonstrated shorter task durations, reduced travel distances with the right instrument (Arm3), faster and more dynamically modulated ...
Masaki Saito, Shunsuke Hayakawa, Hiroyuki Sagawa, Tamiaki Kondo, Masanao Ohashi, Sunao Ito, Reo Sato, Hajime Ushigome, Kenta Saito, Ryo Ogawa, Hiroki Takahashi, Shuji Takiguchi   +11 more
wiley   +1 more source

Advances in Gastric Cancer Research: Insights Into Carcinogenesis, the Tumor Microenvironment, Metastasis, and Factors Influencing Prognosis

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background The Department of Gastroenterological Surgery at Kumamoto University has maintained a commitment to integrating cutting‐edge clinical practice with fundamental research, particularly concerning malignant diseases of the digestive tract.
Hideo Baba, Takatsugu Ishimoto, Yoshifumi Baba, Hiromitsu Hayashi, Masaaki Iwatsuki   +4 more
wiley   +1 more source

Emergency Cholecystectomy in Patients Classified as High Risk According to the Tokyo Guidelines 2018: A Real‐World Analysis

Annals of Gastroenterological Surgery, EarlyView.
Emergency cholecystectomy was evaluated in patients with acute cholecystitis classified as non‐recommended for surgery by the Tokyo Guidelines 2018. Major postoperative complications, rather than mortality, better reflected operative risk. Physiological instability, particularly ASA‐PS ≥ 3 and shock status, identified high‐risk patients, suggesting ...
Satoshi Mii, So Yamaki, Daisuke Hashimoto, Kazuki Matsumura, Hiroyuki Ishida, Hidetaka Miyazaki, Yuki Matsui, Yuji Ikeda, Tsukasa Ikeura, Sohei Satoi   +9 more
wiley   +1 more source

Diagnostic Accuracy of Size‐Based Preoperative CT Assessment for Predicting Lymph Node Metastasis in Colon Cancer: A Systematic Review and Meta‐Analysis

Annals of Gastroenterological Surgery, EarlyView.
Preoperative CT based on lymph node size shows moderate accuracy for detecting nodal metastasis in colon cancer. In this meta‐analysis of 29 studies (5,634 patients), pooled sensitivity and specificity were 0.69 and 0.66. Size‐based CT alone has limited value for clinical decision‐making.
Yuji Takayama, Tomoya Shimizu, Jun Watanabe, Shimpei Ogawa, Yukihide Kanemitsu   +4 more
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
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, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Toward Precision Cancer Immunotherapy

Advanced Science, EarlyView.
Shuang Tang, Jean J. Zhao, Ada Hang‐Heng Wong   +2 more
wiley   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source