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Deep Learning-based Smart IoT Health System for Blindness Detection using Retina Images

Amit Kumar Jaiswal, Prayag Tiwari, Sachin Kumar, Mabrook S. Al-Rakhami, Mubarak Alrashoud, Ahmed Ghoneim
2021 IEEE Access  
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

Rajiv Raman, Sangeetha Srinivasan, Sunny Virmani, Sobha Sivaprasad, Chetan Rao, Ramachandran Rajalakshmi
2018 Eye (London. 1987)  
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

Xiaotao Li, Fangfang Fan, Xuejing Chen, Juan Li, Li Ning, Kangguang Lin, Zan Chen, Zhenyun Qin, Albert S. Yeung, Xiaojian Li, Liping Wang, Kwok-Fai So
2021 Frontiers in Neurology  
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

Jang‐Hwa Leu, Bo‐Chi Lin, Yen‐Yi Liao, Dai‐You Gan
2021 IET Smart Cities  
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]

Jason Singh, Sami Kabbara, Mandi Conway, Gholam Peyman, Robin D. Ross
2019 Novel Diagnostic Methods in Ophthalmology [Working Title]  
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]

Xiaotao Li, Xuejing Chen, Fangfang Fan, Li Ning, Kangguang Lin, Zan Chen, Zhenyun Qin, Albert S. Yeung, Liping Wang, Xiaojian Li, Kwok-Fai So
2020 arXiv   pre-print
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

Geetha Poornima K., Krishna Prasad K.
2020 International journal of management, technology, and social science  
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]

Muhammad Imran Razzak, Saeeda Naz, Ahmad Zaib
2017 arXiv   pre-print
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

Geetha Poornima K, K. Krishna Prasad
2020 Zenodo  
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

Wan Mimi Diyana Wan Zaki, Haliza Abdul Mutalib, Laily Azyan Ramlan, Aini Hussain, Aouache Mustapha
2022 Journal of Imaging  
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  
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

Sumit Majumder, M. Jamal Deen
2019 Sensors  
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

Atun R, Davies JI, Gale EAM, Barnighausen T, Beran D, Kengne AP
2018 Yearbook of Paediatric Endocrinology  
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

Muhammad Imran Razzak, Muhammad Imran, Guandong Xu
2019 Neural computing & applications (Print)  
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

Laurence S. Wilson, Anthony J. Maeder
2015 Healthcare Informatics Research  
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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