Results 141 to 150 of about 162,701 (257)

Innovations in Gastric Cancer Surgery During Early Minimally Invasive Era and Future Perspectives

Annals of Gastroenterological Surgery, EarlyView.
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
wiley   +1 more source

Multidisciplinary Treatment for Esophagogastric Junction Cancer From a Dutch Perspective

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Esophagogastric junction (EGJ) cancer is an increasing health burden worldwide. Over the past decade, significant advancements in centralization, multimodal treatment strategies, as well as the widespread adoption of minimally invasive surgical techniques, have led to marked improvements in perioperative outcomes and overall survival of EGJ ...
Hidde C. G. Overtoom, Suzanne S. Gisbertz   +1 more
wiley   +1 more source

Enhancing automatic landmark localization in X-ray images using combined segmentation and regression models: application to lower limb alignment assessment. [PDF]

Sci Rep
Zarghami A, Amador Sánchez S, Van Overschelde P, Vandemeulebroucke J.   +3 more
europepmc   +1 more source

Artificial Intelligence–Based Surgical Phase Analysis Enables Objective Assessment of Surgeon Skill in Robotic Distal Gastrectomy: A Multicenter Study

Annals of Gastroenterological Surgery, EarlyView.
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, Daichi Kitaguchi, Yoichi Ninomiya, Yuya Takabe, Mitsumasa Yoshida, Masahiro Yura, Nobuyoshi Takeshita, Takahiro Kinoshita, Masaaki Ito   +8 more
wiley   +1 more source

Accuracy of cephalometric landmark identification on artificial intelligence-based software: a comparative study. [PDF]

Dental Press J Orthod
Şavkan İ, Özçankaya SN, Turan ÖN.
europepmc   +1 more source

Essential Updates 2024–2026: Advances in Colorectal Cancer Surgery

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Surgical innovation in colorectal cancer is increasingly judged not by technical feasibility alone, but by whether it improves oncological outcomes, preserves function, reduces morbidity, or makes difficult procedures more reproducible. This structured narrative review examines major surgical studies published from January 2024 through July ...
Hiroyasu Kagawa, Yusuke Kinugasa
wiley   +1 more source

Posterior Arm Artery Perforator Flap: An Ultrafast and Reproducible Perforator Flap Dissection Technique. [PDF]

Plast Reconstr Surg Glob Open
Lahmar T, Le Moigne M, Le Naour S, Perrot P, Lancien U.   +4 more
europepmc   +1 more source

Clinical utility of pharyngeal high‐resolution manometry with impedance for upper esophageal sphincter dysfunction in gastroenterology

Advances in Digestive Medicine, EarlyView.
Abstract Pharyngeal high‐resolution manometry with impedance (P‐HRM‐I) is an established assessment method used to evaluate pharyngeal swallowing. It provides precise quantification of swallowing biomechanics that enable the detection of alterations in swallowing physiology.
Mistyka Schar, Taher Omari, Michal Szczesniak, Chien‐Lin Chen, Richard Heddle, Charles Cock   +5 more
wiley   +1 more source

Clinical Equivalence of a CNN-Based Automated Soft Tissue Landmark Detection System on 2D Facial Images. [PDF]

Diagnostics (Basel)
Türkün AE, Kalender ME, Kurt M, Doğan S.   +3 more
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source