[HTML][HTML] A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta …
Background Deep learning offers considerable promise for medical diagnostics. We aimed
to evaluate the diagnostic accuracy of deep learning algorithms versus health-care …
to evaluate the diagnostic accuracy of deep learning algorithms versus health-care …
Artificial convolutional neural network in object detection and semantic segmentation for medical imaging analysis
R Yang, Y Yu - Frontiers in oncology, 2021 - frontiersin.org
In the era of digital medicine, a vast number of medical images are produced every day.
There is a great demand for intelligent equipment for adjuvant diagnosis to assist medical …
There is a great demand for intelligent equipment for adjuvant diagnosis to assist medical …
Convolutional neural networks for medical image analysis: state-of-the-art, comparisons, improvement and perspectives
Convolutional neural networks, are one of the most representative deep learning models.
CNNs were extensively used in many aspects of medical image analysis, allowing for great …
CNNs were extensively used in many aspects of medical image analysis, allowing for great …
Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography
J Chen, L Wu, J Zhang, L Zhang, D Gong, Y Zhao… - Scientific reports, 2020 - nature.com
Computed tomography (CT) is the preferred imaging method for diagnosing 2019 novel
coronavirus (COVID19) pneumonia. We aimed to construct a system based on deep …
coronavirus (COVID19) pneumonia. We aimed to construct a system based on deep …
Application of artificial intelligence to gastroenterology and hepatology
Since 2010, substantial progress has been made in artificial intelligence (AI) and its
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
Expected value of artificial intelligence in gastrointestinal endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement
This ESGE Position Statement defines the expected value of artificial intelligence (AI) for the
diagnosis and management of gastrointestinal neoplasia within the framework of the …
diagnosis and management of gastrointestinal neoplasia within the framework of the …
[HTML][HTML] Artificial intelligence in gastroenterology: A state-of-the-art review
PT Kröner, MML Engels, BS Glicksberg… - World journal of …, 2021 - ncbi.nlm.nih.gov
The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …
with clinical applications progressively being explored for most of the medical specialties …
[HTML][HTML] Evaluation of the effects of an artificial intelligence system on endoscopy quality and preliminary testing of its performance in detecting early gastric cancer: a …
L Wu, X He, M Liu, H **e, P An, J Zhang, H Zhang… - …, 2021 - thieme-connect.com
Background Esophagogastroduodenoscopy (EGD) is a prerequisite for detecting upper
gastrointestinal lesions especially early gastric cancer (EGC). An artificial intelligence …
gastrointestinal lesions especially early gastric cancer (EGC). An artificial intelligence …
Prevalence and diagnosis of neurological disorders using different deep learning techniques: a meta-analysis
This paper dispenses an exhaustive review on deep learning techniques used in the
prognosis of eight different neuropsychiatric and neurological disorders such as stroke …
prognosis of eight different neuropsychiatric and neurological disorders such as stroke …
Detecting early gastric cancer: Comparison between the diagnostic ability of convolutional neural networks and endoscopists
Y Ikenoyama, T Hirasawa, M Ishioka… - Digestive …, 2021 - Wiley Online Library
Objectives Detecting early gastric cancer is difficult, and it may even be overlooked by
experienced endoscopists. Recently, artificial intelligence based on deep learning through …
experienced endoscopists. Recently, artificial intelligence based on deep learning through …