AIMC Topic: Endoscopy
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Artificial Intelligence for Upper Aerodigestive Tract Endoscopy and Laryngoscopy: A Guide for Physicians and State-of-the-Art Review.
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Apr 13, 2023
OBJECTIVE: The endoscopic and laryngoscopic examination is paramount for laryngeal, oropharyngeal, nasopharyngeal, nasal, and oral cavity benign lesions and cancer evaluation. Nevertheless, upper aerodigestive tract (UADT) endoscopy is intrinsically ...
The Pros and Cons of Artificial Intelligence in Endoscopy.
The American journal of gastroenterology
Apr 12, 2023
Whole slide image-based prediction of lymph node metastasis in T1 colorectal cancer using unsupervised artificial intelligence.
Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Apr 10, 2023
OBJECTIVES: Lymph node metastasis (LNM) prediction for T1 colorectal cancer (CRC) is critical for determining the need for surgery after endoscopic resection because LNM occurs in 10%. We aimed to develop a novel artificial intelligence (AI) system u...
Facelift thyroid surgery: a systematic review of indications, surgical and functional outcomes.
Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale
Apr 10, 2023
OBJECTIVE: To investigate indications, surgical and functional outcomes of robotic or endoscopic facelift thyroid surgery (FTS) and whether FTS reported comparable outcomes of other surgical approaches.
Endoscopic Image Classification Based on Explainable Deep Learning.
Sensors (Basel, Switzerland)
Mar 16, 2023
Deep learning has achieved remarkably positive results and impacts on medical diagnostics in recent years. Due to its use in several proposals, deep learning has reached sufficient accuracy to implement; however, the algorithms are black boxes that a...
Deep learning-based clinical decision support system for gastric neoplasms in real-time endoscopy: development and validation study.
Endoscopy
Feb 8, 2023
BACKGROUND : Deep learning models have previously been established to predict the histopathology and invasion depth of gastric lesions using endoscopic images. This study aimed to establish and validate a deep learning-based clinical decision support...
SAGES video acquisition framework-analysis of available OR recording technologies by the SAGES AI task force.
Surgical endoscopy
Feb 2, 2023
BACKGROUND: Surgical video recording provides the opportunity to acquire intraoperative data that can subsequently be used for a variety of quality improvement, research, and educational applications. Various recording devices are available for stand...
Real-time fundus reconstruction and intraocular mapping using an ophthalmic endoscope.
The international journal of medical robotics + computer assisted surgery : MRCAS
Jan 20, 2023
BACKGROUND: Robotic ophthalmic endoscope holders allow surgeons to execute dual-hand operations in eye surgery. To prevent needle-like endoscopes from invading the retina when moving, surgeons expect visual and real-time information about the relativ...
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation.
Medical image analysis
Jan 20, 2023
Automatic surgical instrument segmentation of endoscopic images is a crucial building block of many computer-assistance applications for minimally invasive surgery. So far, state-of-the-art approaches completely rely on the availability of a ground-t...
A Benchmark Dataset of Endoscopic Images and Novel Deep Learning Method to Detect Intestinal Metaplasia and Gastritis Atrophy.
IEEE journal of biomedical and health informatics
Jan 4, 2023
Endoscopy has been routinely used to diagnose stomach diseases including intestinal metaplasia (IM) and gastritis atrophy (GA). Such routine examination usually demands highly skilled radiologists to focus on a single patient with substantial time, c...
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