Results 101 to 110 of about 6,344,658 (293)
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 +8 more
wiley +1 more source
Visual Learning for Landmark Recognition
, 1997 Recognizing landmark is a critical task for mobile robots. Landmarks are used for robot positioning, and for building maps of unknown environments. In this context, the traditional recognition techniques based on strong geometric models cannot be used.
Takeuchi, Yutaka +3 more
openaire +2 more sources
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
Current Status and Future Perspectives of Robotic Surgery for Esophagogastric Cancer in Asia
Annals of Gastroenterological Surgery, EarlyView.ABSTRACT Robotic‐assisted surgery (RAS) has moved from an experimental adjunct to an increasingly established component of gastrointestinal (GI) oncological practice in parts of Asia, a region that carries a disproportionately high burden of gastric and esophageal cancer. Asian surgeons have been among the earliest and most prolific contributors to the
Jia Jun Ang, Jimmy Bok Yan So
wiley +1 more source
A Biologically-inspired Visual Landmark Learning for Mobile Robots
, 1999 A Biologically-inspired Visual Landmark Learning for Mobile ...
BIANCO, Giovanni, Riccardo Cassinis
core
Annals of Gastroenterological Surgery, EarlyView.AI‐generated anatomical highlighting improved surgeons' recognition of actual ureteral injuries during laparoscopic colorectal surgery, including recognition within predefined injury time‐code windows. No significant overall improvement was observed for pancreatic injury, and incorrect adverse‐event judgments did not increase in no‐injury videos. These
Shunjin Ryu +9 more
wiley +1 more source
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 +4 more
wiley +1 more source
Geomagnetic Field Based Indoor Landmark Classification Using Deep Learning
IEEE Access, 2019 The unstable nature of radio frequency signals and the need for external infrastructure inside buildings have limited the use of positioning techniques, such as Wi-Fi and Bluetooth fingerprinting.
Bimal Bhattarai +3 more
doaj +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 +5 more
wiley +1 more source
Student Acceptance of Blended Learning in Nigeria: A Case Study of landmark University Students [PDF]
, 2017 This study explains the factors that influence the acceptance of blended learning and the level of acceptance of the features of blended learning by undergraduate students in Landmark University.
Eyiolorunshe, Toluwani A. +2 more
core +2 more sources