AIMC Topic: Photography
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Newborn Eye Screening as an Application of AI.
Ophthalmic surgery, lasers & imaging retina
Dec 1, 2021
Artificial intelligence (AI) applications are diverse and serve varied functions in clinical practice. The most successful products today are clinical decision tools used by physicians, but autonomous AI is gaining traction. Widespread use of AI is l...
COVID surveillance robot: Monitoring social distancing constraints in indoor scenarios.
PloS one
Dec 1, 2021
Observing social/physical distancing norms between humans has become an indispensable precaution to slow down the transmission of COVID-19. We present a novel method to automatically detect pairs of humans in a crowded scenario who are not maintainin...
An Exploratory Approach to Deriving Nutrition Information of Restaurant Food from Crowdsourced Food Images: Case of Hartford.
Nutrients
Nov 18, 2021
Deep learning models can recognize the food item in an image and derive their nutrition information, including calories, macronutrients (carbohydrates, fats, and proteins), and micronutrients (vitamins and minerals). This technology has yet to be imp...
PM₂.₅ Monitoring: Use Information Abundance Measurement and Wide and Deep Learning.
IEEE transactions on neural networks and learning systems
Oct 5, 2021
This article devises a photograph-based monitoring model to estimate the real-time PM concentrations, overcoming currently popular electrochemical sensor-based PM monitoring methods' shortcomings such as low-density spatial distribution and time dela...
Exploring the art of medical photography - an otolaryngologist's perspective.
The Journal of laryngology and otology
Oct 1, 2021
BACKGROUND: Modern day otolaryngology has expanded beyond the ear, nose and throat to include head and neck surgery and aesthetic facial procedures. Photographic documentation is important within this expanded horizon. The spectrum of clinical photog...
Automated detection of severe diabetic retinopathy using deep learning method.
Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Sep 30, 2021
PURPOSE: The purpose of this study is to develop and validate the intelligent diagnosis of severe DR with lesion recognition based on color fundus photography.
Artificial intelligence-based detection of epimacular membrane from color fundus photographs.
Scientific reports
Sep 29, 2021
Epiretinal membrane (ERM) is a common ophthalmological disorder of high prevalence. Its symptoms include metamorphopsia, blurred vision, and decreased visual acuity. Early diagnosis and timely treatment of ERM is crucial to preventing vision loss. Al...
ESIDE: A computationally intelligent method to identify earthworm species (E. fetida) from digital images: Application in taxonomy.
PloS one
Sep 16, 2021
Earthworms (Crassiclitellata) being ecosystem engineers significantly affect the physical, chemical, and biological properties of the soil by recycling organic material, increasing nutrient availability, and improving soil structure. The efficiency o...
Assessing outcomes of ear molding therapy by health care providers and convolutional neural network.
Scientific reports
Sep 9, 2021
Ear molding therapy is a nonsurgical technique to correct certain congenital auricular deformities. While the advantages of nonsurgical treatments over otoplasty are well-described, few studies have assessed aesthetic outcomes. In this study, we comp...
Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study.
The Lancet. Digital health
Sep 1, 2021
BACKGROUND: Delays in the diagnosis of genetic syndromes are common, particularly in low and middle-income countries with limited access to genetic screening services. We, therefore, aimed to develop and evaluate a machine learning-based screening te...
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