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The Use of Artificial Intelligence-Based Models for Biomedical Application
Published in Mohan Lal Kolhe, Kailash J. Karande, Sampat G. Deshmukh, Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications, 2023
Sharad Mulik, Nilesh Dhobale, Kanchan Pujari, Kailash Karande
In the present world, a lot of people are facing the diabetes problem. While overcoming this problem, AI-based diabetes prediction has been implemented; hence, it provides more precise data for the health analysis of patients. The prognostic study of diabetes can be done with four application types: patient self-management tools, a retinal screening, predictive population risk, and clinical decision support. First, in patients’ self-management tools, some devices and sensors have been planted in patients’ bodies. Here activity-tracking devices and AI-based glucose sensors have been used. Additionally, the artificial pancreas has been used. Second in the retinal diagnosis, with retina scan, the detection of exudates, maculopathy, and other abnormalities are possible. Third, in the predictive population risk, the prediction study needs to carry out; it will identify the complications, readmissions, and hospitalization. Fourth, in clinical decision support, it is possible to detect and monitor diabetes as well as neuropathy and nephropathy.
From Vision Science to Design Practice
Published in Marcelo M. Soares, Francisco Rebelo, Ergonomics in Design Methods & Techniques, 2016
Cristina Pinheiro, Fernando Moreira da Silva
AMD (age-related macular degeneration)—This condition also known as age-related maculopathy (ARM) is associated with aging and gradually destroys the macula, a cluster of light-sensitive cells in the central part of the retina rich in cones, where the visual acuity and color vision are the best.
Swept-source optical coherence tomography imaging of the retinochoroid and beyond
Published in Expert Review of Medical Devices, 2020
Jayesh Vira, Alessandro Marchese, Rohan Bir Singh, Aniruddha Agarwal
Macular imaging in myopic eyes presents a unique challenge due to high axial lengths and shape of the globe. However, macular imaging in pathological myopia is extremely critical to detect pathologies such as myopic traction maculopathy, choroidal neovascularization, and other conditions such as dome-shaped maculopathy. SS-OCT imaging has been utilized in the evaluation of myopic fundi. Ishidia et al. in a retrospective analysis of 124 eyes of 112 consecutive patients with myopic CNV, SS-OCT showed that the connection between the CNV and the scleral vessels mainly originated from the short posterior ciliary arteries. OCTA images showed blood flow in active, scar, and atrophic phases [28]. Thus, SS-OCTA technology may further advance our understanding of CNV in these eyes in the future.
Deep learning framework for biometric authentication using retinal images
Published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2023
Jarina B. Mazumdar, S. R. Nirmala
In the proposed work, we have considered the retinal images from different databases including general databases, authentication databases, diseased retinal images and hospital databases. In the diseased images, the retina is affected by different diseases such as diabetic retinopathy, maculopathy and age-related macular degeneration.
Challenges and cares to promote rational use of chloroquine and hydroxychloroquine in the management of coronavirus disease 2019 (COVID-19) pandemic: a timely review
Published in Journal of Toxicology and Environmental Health, Part B, 2020
As mentioned previously due to the long plasma elimination half-life of CQ and HCQ, these drugs are slowly excreted. Thus, even after treatment is stopped, it is necessary to monitor side effects, since pruritus to corneal deposition (keratopathy) and continued maculopathy on the retina may be delayed in occurrence.