AIMC Topic: Asia

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An expert system model for mapping tropical wetlands and peatlands reveals South America as the largest contributor.

Global change biology May 9, 2017
Wetlands are important providers of ecosystem services and key regulators of climate change. They positively contribute to global warming through their greenhouse gas emissions, and negatively through the accumulation of organic material in histosols...
Brazil Africa Indonesia Asia Expert Systems Climate Change Wetlands
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DisArticle: a web server for SVM-based discrimination of articles on traditional medicine.

BMC complementary and alternative medicine Jan 28, 2017
BACKGROUND: Much research has been done in Northeast Asia to show the efficacy of traditional medicine. While MEDLINE contains many biomedical articles including those on traditional medicine, it does not categorize those articles by specific researc...
MEDLINE Evidence-Based Medicine Phytotherapy Asia Medicine, Traditional Herbal Medicine Drugs, Chinese Herbal Internet Publishing Plants, Medicinal Databases, Factual Biomedical Research Humans Support Vector Machine Medicine, Chinese Traditional
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Global quantification of left ventricular myocardial perfusion at dynamic CT imaging: Prognostic value.

Journal of cardiovascular computed tomography Dec 28, 2016
BACKGROUND: There is no published data on the prognostic value of global myocardial perfusion values at stress dynamic CT myocardial perfusion imaging (CTMPI).
Asia Myocardial Revascularization Middle Aged Computed Tomography Angiography Coronary Circulation Risk Assessment Europe Risk Factors Coronary Artery Disease Myocardial Perfusion Imaging Severity of Illness Index Humans Predictive Value of Tests Angina, Unstable Hospitalization Myocardial Infarction United States Prognosis Coronary Angiography Coronary Stenosis Aged Retrospective Studies Registries Proportional Hazards Models Male Female Kaplan-Meier Estimate
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Forecasting East Asian Indices Futures via a Novel Hybrid of Wavelet-PCA Denoising and Artificial Neural Network Models.

PloS one Jun 1, 2016
The motivation behind this research is to innovatively combine new methods like wavelet, principal component analysis (PCA), and artificial neural network (ANN) approaches to analyze trade in today's increasingly difficult and volatile financial futu...
Forecasting Neural Networks, Computer Principal Component Analysis Asia
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Protocol for a multicenter randomized controlled trial to assess the usefulness of computer-aided detection systems for colonoscopy in colorectal cancer screening in the Asia-Pacific region (project CAD/NCCH2217).

Japanese journal of clinical oncology Jul 6, 2025
Ensuring the high quality of colonoscopies in colorectal cancer (CRC) screening is essential to reducing CRC. Recently, computer-aided detection systems (CADe) that use artificial intelligence have attracted much attention as potentially useful tools...
Humans Female Aged Colorectal Neoplasms Mass Screening Early Detection of Cancer Adenoma Randomized Controlled Trials as Topic Asia Male Middle Aged Colonoscopy Diagnosis, Computer-Assisted
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Position Statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the Adoption and Implementation of Artificial Intelligence for Radiology.

Korean journal of radiology Jul 1, 2024
Artificial intelligence (AI) is rapidly gaining recognition in the radiology domain as a greater number of radiologists are becoming AI-literate. However, the adoption and implementation of AI solutions in clinical settings have been slow, with point...
Artificial Intelligence Radiology Asia Humans Societies, Medical
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The scientific progress and prospects of artificial intelligence in digestive endoscopy: A comprehensive bibliometric analysis.

Medicine Nov 25, 2022
Artificial intelligence (AI) has been used for diagnosis and outcome prediction in clinical practice. Furthermore, AI in digestive endoscopy has attracted much attention and shown promising and stimulating results. This study aimed to determine the d...
Humans Research Personnel Artificial Intelligence Capsule Endoscopy Bibliometrics Asia
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Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms.

The Lancet. Digital health Oct 1, 2020
BACKGROUND: The application of deep learning to retinal photographs has yielded promising results in predicting age, sex, blood pressure, and haematological parameters. However, the broader applicability of retinal photograph-based deep learning for ...
Biomarkers Republic of Korea Female Male Humans Neural Networks, Computer Algorithms Europe Area Under Curve Singapore Body Composition Middle Aged Deep Learning ROC Curve Image Processing, Computer-Assisted Muscles United Kingdom Beijing Asia Photography Models, Biological Creatinine Retina Ethnicity
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Artificial Intelligence in Ophthalmology: Evolutions in Asia.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) Jan 1, 2020
Artificial intelligence (AI) has been studied in ophthalmology since availability of digital information in ophthalmic care. The significant turning point was availability of commercial digital color fundus photography in the late 1990s, which caused...
Asia Humans Artificial Intelligence Ophthalmology Translational Research, Biomedical Telemedicine Health Plan Implementation Biomedical Technology
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Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium.

Circulation. Cardiovascular imaging Jun 1, 2018
BACKGROUND: Coronary computed tomographic angiography (CTA) is a reliable modality to detect coronary artery disease. However, CTA generally overestimates stenosis severity compared with invasive angiography, and angiographic stenosis does not necess...
Fractional Flow Reserve, Myocardial Coronary Vessels Asia Computed Tomography Angiography Coronary Stenosis Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Female Coronary Artery Disease Reproducibility of Results Aged Humans Male Prospective Studies Deep Learning Retrospective Studies Middle Aged United States Severity of Illness Index Europe
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