AI Medical Compendium Topic

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Endoscopy

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Synthetic seismocardiogram generation using a transformer-based neural network.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To design and validate a novel deep generative model for seismocardiogram (SCG) dataset augmentation. SCG is a noninvasively acquired cardiomechanical signal used in a wide range of cardivascular monitoring tasks; however, these approaches...

[The Digital Transformation(Dx)of Endoscopic Examinations].

Gan to kagaku ryoho. Cancer & chemotherapy
Artificial intelligence(AI)and information and communication technology(ICT)are beginning to be used in the digital transformation of endoscopic images. In Japan, several AI systems for digestive organ endoscopy have been approved as programmed medic...

Artificial Intelligence in Pediatric Endoscopy: Current Status and Future Applications.

Gastrointestinal endoscopy clinics of North America
The application of artificial intelligence (AI) has great promise for improving pediatric endoscopy. The majority of preclinical studies have been undertaken in adults, with the greatest progress being made in the context of colorectal cancer screeni...

AI analysis and modified type classification for endocytoscopic observation of esophageal lesions.

Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus
Endocytoscopy (EC) facilitates real-time histological diagnosis of esophageal lesions in vivo. We developed a deep-learning artificial intelligence (AI) system for analysis of EC images and compared its diagnostic ability with that of an expert patho...

The Future of Minimally Invasive Spinal Surgery.

World neurosurgery
Strong forces are pushing minimally invasive spinal surgery (MISS) to the forefront of spine care. Less-invasive surgical techniques have been enabled by a variety of technical advances. Despite the promise of MISS, however, several factors, includin...

Application of endoscopic ultrasonography for detecting esophageal lesions based on convolutional neural network.

World journal of gastroenterology
BACKGROUND: A convolutional neural network (CNN) is a deep learning algorithm based on the principle of human brain visual cortex processing and image recognition.

Quantitative endoscopic photoacoustic tomography using a convolutional neural network.

Applied optics
Endoscopic photoacoustic tomography (EPAT) is a catheter-based hybrid imaging modality capable of providing structural and functional information of biological luminal structures, such as coronary arterial vessels and the digestive tract. The recover...

Transit Time Flow Measurement in Robotic Totally Endoscopic Coronary Artery Bypass: What Do the Numbers Mean?

Innovations (Philadelphia, Pa.)
OBJECTIVE: Transit time flow measurement (TTFM) is valuable for assessing intraoperative graft patency in coronary artery bypass surgery (CAB). The significance of competitive native coronary flow on patency, as predicted by percentage of backflow (%...