AIMC Topic: Endoscopy

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Specifying Inputs for the Computational Structure of a Surgical System via Optical Method and DLT Algorithm Based on In Vitro Experiments on Cardiovascular Tissue in Minimally Invasive and Robotic Surgery.

Sensors (Basel, Switzerland) Mar 17, 2022
With the application of four optical CMOS sensors, it was possible to capture the trajectory of an endoscopic tool during an in vitro surgical experiment on a cardiovascular preparation. This was due to the possibility of obtaining a path when a refl...
Algorithms Endoscopy Motion Robotics Robotic Surgical Procedures
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All-fiber high-speed image detection enabled by deep learning.

Nature communications Mar 17, 2022
Ultra-high-speed imaging serves as a foundation for modern science. While in biomedicine, optical-fiber-based endoscopy is often required for in vivo applications, the combination of high speed with the fiber endoscopy, which is vital for exploring t...
Neural Networks, Computer Optical Fibers Deep Learning Endoscopy Diagnostic Imaging
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A deep learning-based system for real-time image reporting during esophagogastroduodenoscopy: a multicenter study.

Endoscopy Mar 10, 2022
BACKGROUND AND STUDY AIMS: Endoscopic reports are essential for the diagnosis and follow-up of gastrointestinal diseases. This study aimed to construct an intelligent system for automatic photo documentation during esophagogastroduodenoscopy (EGD) an...
Endoscopy, Digestive System Deep Learning Humans Prospective Studies Endoscopy
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Robotic Handle Prototypes for Endoscopic Endonasal Skull Base Surgery: Pre-clinical Randomised Controlled Trial of Performance and Ergonomics.

Annals of biomedical engineering Mar 8, 2022
Endoscopic endonasal skull base surgery is a promising alternative to transcranial approaches. However, standard instruments lack articulation, and thus, could benefit from robotic technologies. The aim of this study was to develop an ergonomic handl...
Endoscopy Ergonomics Skull Base Robotics Robotic Surgical Procedures
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Proposing Novel Data Analytics Method for Anatomical Landmark Identification from Endoscopic Video Frames.

Journal of healthcare engineering Feb 23, 2022
BACKGROUND: The anatomical landmarks contain the characteristics that are used to guide the gastroenterologists during the endoscopy. The expert can also ensure the completion of examination with the help of the anatomical landmarks. Automatic detect...
Data Science Gastrointestinal Tract Neural Networks, Computer Humans Endoscopy
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Prediction of lymph node metastasis in early colorectal cancer based on histologic images by artificial intelligence.

Scientific reports Feb 22, 2022
Risk evaluation of lymph node metastasis (LNM) for endoscopically resected submucosal invasive (T1) colorectal cancers (CRC) is critical for determining therapeutic strategies, but interobserver variability for histologic evaluation remains a major p...
Histocytological Preparation Techniques Image Processing, Computer-Assisted Lymphatic Metastasis Humans Neoplasm Staging Colorectal Neoplasms Neoplasm Recurrence, Local Machine Learning Male Endoscopy Female
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Diagnosis of Esophageal Lesions by Multi-Classification and Segmentation Using an Improved Multi-Task Deep Learning Model.

Sensors (Basel, Switzerland) Feb 15, 2022
It is challenging for endoscopists to accurately detect esophageal lesions during gastrointestinal endoscopic screening due to visual similarities among different lesions in terms of shape, size, and texture among patients. Additionally, endoscopists...
Image Processing, Computer-Assisted Endoscopy Humans Deep Learning
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Systematic review with meta-analysis: artificial intelligence in the diagnosis of oesophageal diseases.

Alimentary pharmacology & therapeutics Jan 30, 2022
BACKGROUND: Artificial intelligence (AI) has recently been applied to endoscopy and questionnaires for the evaluation of oesophageal diseases (ODs).
Gastroesophageal Reflux Humans ROC Curve Odds Ratio Artificial Intelligence Endoscopy
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Articulation is essential: First in cardiovascular surgery implementation of 360° surgeon-powered robotic instruments.

Journal of cardiac surgery Jan 25, 2022
Since the development of endoscopic vision in the late 1970s, the implementation of minimally invasive surgical methods has been rapidly progressing throughout a wide range of surgical disciplines, including cardiovascular surgery. The benefits of mi...
Surgeons Robotics Humans Minimally Invasive Surgical Procedures Endoscopy Robotic Surgical Procedures
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Fully transformer network for skin lesion analysis.

Medical image analysis Jan 18, 2022
Automatic skin lesion analysis in terms of skin lesion segmentation and disease classification is of great importance. However, these two tasks are challenging as skin lesion images of multi-ethnic population are collected using various scanners in m...
Image Processing, Computer-Assisted Humans Neural Networks, Computer Endoscopy
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