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Deep Learning-based Smart IoT Health System for Blindness Detection using Retina Images
2021
IEEE Access
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The proposed approach has been developed and tested only for the early detection of diabetic retinopathy in diabetic patients. ...
The proposed approach has been developed and tested only for the early detection of diabetic retinopathy in diabetic patients. ...
(smart city, smart health), AI, deep learning, edge computing, and Internet of Things (IoT). ...
doi:10.1109/access.2021.3078241
fatcat:gzpro6jxtrd47plxkd23gxsxje
Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy
2018
Eye (London. 1987)
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Diabetes has high morbidity, with millions of people who need to be screened for diabetic retinopathy (DR). ...
This review aims to compare the current evidences on various deep learning models for diagnosis of diabetic retinopathy (DR). ...
diabetic retinopathy ...
doi:10.1038/s41433-018-0269-y
pmid:30401899
pmcid:PMC6328553
fatcat:kd2dvcikezdfbk4d26upfgiksy
Computer Vision for Brain Disorders Based Primarily on Ocular Responses
2021
Frontiers in Neurology
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In this review, we outline multiple techniques in which ocular assessments may serve as a non-invasive approach for the early detections of various brain disorders, such as autism spectrum disorder (ASD ...
Patterns seen in saccades, pupillary responses, and spontaneous blinking, as well as retinal microvasculature and morphology visualized via office-based ophthalmic imaging, are potential biomarkers for ...
skin cancer (66) and diabetic retinopathy (10, 67) . ...
doi:10.3389/fneur.2021.584270
pmid:33967931
pmcid:PMC8096911
fatcat:so3t7kmm6rfatbmz2cdbrnfvpq
Smart city development in Taiwan
2021
IET Smart Cities
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Meanwhile, Taiwan uses a private finance initiative program and a global marketing strategy for strengthening the scalability and sustainability of smart city solutions. ...
To take global trends and local needs into account, Taiwan has applied a dual development model that combines top-down (theme-based)/bottom-up (needs-based) approaches for a synergy effect in balancing ...
ACKNOWLEDGEMENTS This work was supported by the Industrial Development Bureau, Ministry of Economic Affairs (MOEA) in Taiwan Smart City Development Project. ...
doi:10.1049/smc2.12008
fatcat:grvwi7gy4ffzpd6ynw55trp5p4
Innovative Diagnostic Tools for Ophthalmology in Low-Income Countries
[chapter]
2019
Novel Diagnostic Methods in Ophthalmology [Working Title]
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Many low-income countries must rely on community health workers, physician assistants, and cataract surgeons for primary eye care. ...
Innovative technologies are emerging to test visual acuity, correct refractive error quickly and inexpensively, capture retinal images with portable tools, train cataract surgeons using simulators, capitalize ...
(England) for use of images. ...
doi:10.5772/intechopen.83455
fatcat:4x7l7lifefawxogcbg3gfihqrq
Cognitive computation of brain disorders based primarily on ocular responses
[article]
2020
arXiv
pre-print
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The present review presents multiple techniques in which ocular assessments may serve as a noninvasive approach for the early diagnoses of various cognitive and psychiatric disorders, such as Alzheimer's ...
for cognitive and psychiatric disorders. ...
In addition, some portable or wearable devices have been developed for brain healthcare since they are better for early detection of symptoms involved in brain disorders, rather than diagnosing symptoms ...
arXiv:1902.08357v3
fatcat:hnn2hejaj5bi5arznmrrgj7b5a
Application of IoT in Predictive Health Analysis–A Review of Literature
2020
International journal of management, technology, and social science
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This review aims to explain the use of IoT for providing smart healthcare solutions. ...
Healthcare is one among them. ...
It can also be used in the treatment of diabetic retinopathy (Park et al. 2018) [67] . ...
doi:10.47992/ijmts.2581.6012.0089
fatcat:fh36v6u2effuzdmdyxrb3csjdy
Deep Learning for Medical Image Processing: Overview, Challenges and Future
[article]
2017
arXiv
pre-print
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Healthcare sector is totally different from other industry. It is on high priority sector and people expect highest level of care and services regardless of cost. ...
After the success of deep learning in other real world application, it is also providing exciting solutions with good accuracy for medical imaging and is seen as a key method for future applications in ...
The Diabetic Retinopathy (DR) is an eye disease due to diabetes which results in eye blindness with the passage of time of diabetes in a person. According to [? ...
arXiv:1704.06825v1
fatcat:yhfw6rx57zh4tlowahf2jbbace
Application of IoT in Predictive Health Analysis–A Review of Literature
2020
Zenodo
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This review aims to explain the use of IoT for providing smart healthcare solutions. ...
Healthcare is one among them. ...
It can also be used in the treatment of diabetic retinopathy [67] . 4. ...
doi:10.5281/zenodo.3821147
fatcat:udgs5mtblnfa7bvaibolgne2em
Towards a Connected Mobile Cataract Screening System: A Future Approach
2022
Journal of Imaging
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Therefore, the use of digital images from a smartphone as the future of cataract screening tools could be a practical and helpful solution for ophthalmologists, especially in rural areas with limited healthcare ...
This paper aims to review the development and limitations of published methods for cataract detection and grading using different imaging modalities. ...
Ophthalmologists will use the images to diagnose and treat eye diseases such as diabetic retinopathy (DR), glaucoma, cataracts, age-related macular degeneration, and retinal detachment. ...
doi:10.3390/jimaging8020041
pmid:35200743
pmcid:PMC8879609
fatcat:wvbyppxl3ncbzfjyfquohugsmu
Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
2020
Database: The Journal of Biological Databases and Curation
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the way for a new data-centric era of discovery in healthcare. ...
Implementation of artificial intelligence in healthcare is a compelling vision that has the potential in leading to the significant improvements for achieving the goals of providing real-time, better personalized ...
Christopher Bonin for providing editorial support. ...
doi:10.1093/database/baaa010
pmid:32185396
pmcid:PMC7078068
fatcat:ypsuz5dewvcgtpjx4vjkhi545q
Smartphone Sensors for Health Monitoring and Diagnosis
2019
Sensors
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A discussion on regulatory policies for medical devices and their implications in smartphone-based healthcare systems is presented. ...
In addition, diseases related to the cardiovascular system, eye, respiratory system, skin and mental health are widespread globally. ...
of diabetic retinopathy. ...
doi:10.3390/s19092164
fatcat:5lex22tgevbwbj4on5nugg3a34
Diabetes in sub-Saharan Africa: from clinical care to health policy
2018
Yearbook of Paediatric Endocrinology
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Diabetes in sub-Saharan Africa -from clinical care to health policy Atun, R ...
Preventing and manageing diabetic retinopathy requires both good glycaemic control and the timely detection and treatment (with photocoagulation) of early stage sight threatening retinal changes. ...
Diabetic eye disease The sight-threatening manifestations of diabetes: diabetic retinopathy, proliferative retinopathy, and maculopathy, are preventable and treatable before vision is lost.(87) Cataract ...
doi:10.1530/ey.15.13.10
fatcat:myim2575ibg4vlrhomsvsjnggy
Big data analytics for preventive medicine
2019
Neural computing & applications (Print)
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We summarize state-of-the-art data analytics algorithms used for classification of disease, clustering (unusually high incidence of a particular disease), anomalies detection (detection of disease) and ...
How can healthcare providers use modern data analytics tools and technologies to analyze and create value from complex data? ...
tests for lead exposure, eye tests for glaucoma, lifestyle and dietary modification. ...
doi:10.1007/s00521-019-04095-y
pmid:32205918
pmcid:PMC7088441
fatcat:x52upnuwbjdchkyb7hog5pvawm
Recent Directions in Telemedicine: Review of Trends in Research and Practice
2015
Healthcare Informatics Research
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the advancement of healthcare. ...
the advancement of healthcare. ...
A major application area for teleophthalmology is diabetic retinopathy, often in a setting of repeated screening of diabetes patients for signs of deterioration. ...
doi:10.4258/hir.2015.21.4.213
pmid:26618026
pmcid:PMC4659877
fatcat:pyrbp53fbnazbcxpin7b5tlb7e
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