AIMC Topic: Endoscopy
Clear Filters Showing 141 to 150 of 318 articles
Development and evaluation of a double-check support system using artificial intelligence in endoscopic screening for gastric cancer.
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Oct 15, 2021
BACKGROUND: This study aimed to prevent missing gastric cancer and point out low-quality images by developing a double-check support system (DCSS) for esophagogastroduodenoscopy (EGD) still images using artificial intelligence.
The use of deep learning on endoscopic images to assess the response of rectal cancer after chemoradiation.
Surgical endoscopy
Oct 12, 2021
BACKGROUND: Accurate response evaluation is necessary to select complete responders (CRs) for a watch-and-wait approach. Deep learning may aid in this process, but so far has never been evaluated for this purpose. The aim was to evaluate the accuracy...
Geometric Atlas of the Middle Ear and Paranasal Sinuses for Robotic Applications.
Surgical innovation
Oct 3, 2021
In otolaryngologic surgery, more and more robots are being studied to meet the clinical needs of operating rooms. However, to help design and optimize these robots, the workspace must be precisely defined taking into account patient variability. The ...
Artificial intelligence in endoscopy: an advantageous automatic co-pilot or the tale of "The Emperor's New Clothes"?
Techniques in coloproctology
Sep 18, 2021
Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?
Sensors (Basel, Switzerland)
Aug 17, 2021
Most surgeons are skeptical as to the feasibility of autonomous actions in surgery. Interestingly, many examples of autonomous actions already exist and have been around for years. Since the beginning of this millennium, the field of artificial intel...
Deep Learning-Guided Fiberoptic Raman Spectroscopy Enables Real-Time Diagnosis and Assessment of Nasopharyngeal Carcinoma and Post-treatment Efficacy during Endoscopy.
Analytical chemistry
Jul 28, 2021
In this work, we develop a deep learning-guided fiberoptic Raman diagnostic platform to assess its ability of real-time nasopharyngeal carcinoma (NPC) diagnosis and post-treatment follow-up of NPC patients. The robust Raman diagnostic platform is es...
Artificial intelligence for the detection of gastric precancerous conditions using image-enhanced endoscopy: What kind of abilities are required for application in real-world clinical practice?
Gastrointestinal endoscopy
Jun 25, 2021
Object and anatomical feature recognition in surgical video images based on a convolutional neural network.
International journal of computer assisted radiology and surgery
Jun 24, 2021
PURPOSE: Artificial intelligence-enabled techniques can process large amounts of surgical data and may be utilized for clinical decision support to recognize or forecast adverse events in an actual intraoperative scenario. To develop an image-guided ...
Feasibility of a deep learning-based algorithm for automated detection and classification of nasal polyps and inverted papillomas on nasal endoscopic images.
International forum of allergy & rhinology
Jun 20, 2021
BACKGROUND: Discrimination of nasal cavity mass lesions is a challenging work requiring extensive experience. A deep learning-based automated diagnostic system may help clinicians to classify nasal cavity mass lesions. We demonstrated the feasibility...
Transoral robotic removal of submandibular sialolith combined with sialendoscopic assistance.
European annals of otorhinolaryngology, head and neck diseases
Jun 2, 2021
Treatment of symptomatic impacted and palpable submandibular lithiasis generally involves a combined transoral and sialendoscopic approach with an excellent success rate, and a low morbidity. Nevertheless, the approach of proximal or hilar lithiasis ...
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