A new artificial intelligence system successfully detects and localises early neoplasia in Barrett's esophagus by using convolutional neural networks
Sign Up to like & getrecommendations! Published in 2022 at "United European Gastroenterology Journal"
DOI: 10.1002/ueg2.12233
Abstract: Abstract Background and aims Seattle protocol biopsies for Barrett's Esophagus (BE) surveillance are labour intensive with low compliance. Dysplasia detection rates vary, leading to missed lesions. This can potentially be offset with computer aided detection.… read more here.
Keywords: barrett esophagus; neural networks; intelligence system; cnn ... See more keywords
Data-Driven Intelligence System for General Recommendations of Deep Learning Architectures
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3124633
Abstract: Choosing optimal Deep Learning (DL) architecture and hyperparameters for a particular problem is still not a trivial task among researchers. The most common approach relies on popular architectures proven to work on specific problem domains… read more here.
Keywords: data driven; deep learning; driven intelligence; general recommendations ... See more keywords
An Optimized Artificial Intelligence System Using IoT Biosensors Networking for Healthcare Problems
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/2206573
Abstract: In today's environment, electronics technology is growing rapidly because of the availability of the numerous and latest devices which can be deployed for monitoring and controlling the various healthcare systems. Due to the limitations of… read more here.
Keywords: artificial intelligence; biosensors networking; intelligence; system using ... See more keywords
Validation of Automated Screening for Referable Diabetic Retinopathy With an Autonomous Diagnostic Artificial Intelligence System in a Spanish Population
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Diabetes Science and Technology"
DOI: 10.1177/1932296820906212
Abstract: Purpose: The purpose of this study is to compare the diagnostic performance of an autonomous artificial intelligence (AI) system for the diagnosis of referable diabetic retinopathy (RDR) to manual grading by Spanish ophthalmologists. Methods: Subjects… read more here.
Keywords: referable diabetic; diabetic retinopathy; system; autonomous diagnostic ... See more keywords
A MULTIMODAL MULTIPATH ARTIFICIAL INTELLIGENCE SYSTEM FOR DIAGNOSING GASTRIC PROTRUDED LESIONS ON ENDOSCOPY AND ENDOSCOPIC ULTRASONOGRAPHY IMAGES.
Sign Up to like & getrecommendations! Published in 2022 at "Clinical and translational gastroenterology"
DOI: 10.14309/ctg.0000000000000551
Abstract: BACKGROUND Developing a novel artificial intelligence (AI) system that can automatically detect and classify protruded gastric lesions and help address the challenges of diagnostic accuracy and inter-reader variability encountered in routine diagnostic workflow. METHODS We… read more here.
Keywords: system; intelligence system; endoscopic ultrasonography; multimodal multipath ... See more keywords
Analysis of Financial Factors Which Driving the Operating Margins of 880 Public Hospitals in Japan Using a Business Intelligence System
Sign Up to like & getrecommendations! Published in 2019 at "Studies in health technology and informatics"
DOI: 10.3233/shti190715
Abstract: Management improvement was strongly required at public hospital and Local Incorporated Administrative Agency hospitals in Japan. We analysed financial statements of 880 public hospitals using Business Intelligence System. In order to raise the efficiency of… read more here.
Keywords: public hospitals; hospitals japan; business intelligence; 880 public ... See more keywords
An Adaptive Digital Intelligence System to Support Infodemic Management: The WHO EARS Platform.
Sign Up to like & getrecommendations! Published in 2023 at "Studies in health technology and informatics"
DOI: 10.3233/shti230296
Abstract: The WHO Early AI-Supported Response with Social Listening (EARS) platform was developed to help inform infodemic response during the COVID-19 pandemic. There was continual monitoring and evaluation of the platform and feedback from end-users was… read more here.
Keywords: ears platform; intelligence system; adaptive digital; digital intelligence ... See more keywords