AIMC Topic: Photography
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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...
A deep learning approach to automatic gingivitis screening based on classification and localization in RGB photos.
Scientific reports
Aug 19, 2021
Routine dental visit is the most common approach to detect the gingivitis. However, such diagnosis can sometimes be unavailable due to the limited medical resources in certain areas and costly for low-income populations. This study proposes to screen...
Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks.
Nature communications
Aug 10, 2021
Retinal fundus diseases can lead to irreversible visual impairment without timely diagnoses and appropriate treatments. Single disease-based deep learning algorithms had been developed for the detection of diabetic retinopathy, age-related macular de...
Comparison of machine and deep learning for the classification of cervical cancer based on cervicography images.
Scientific reports
Aug 9, 2021
Cervical cancer is the second most common cancer in women worldwide with a mortality rate of 60%. Cervical cancer begins with no overt signs and has a long latent period, making early detection through regular checkups vitally immportant. In this stu...
Differentiation of Active Corneal Infections from Healed Scars Using Deep Learning.
Ophthalmology
Aug 2, 2021
PURPOSE: To develop and evaluate an automated, portable algorithm to differentiate active corneal ulcers from healed scars using only external photographs.
Classification of large-scale image database of various skin diseases using deep learning.
International journal of computer assisted radiology and surgery
Jul 26, 2021
PURPOSE: The purpose of this study was to develop a deep learning-based computer-aided diagnosis system for skin disease classification using photographic images of patients. The targets are 59 skin diseases, including localized and diffuse diseases ...
Analysis of the performance of machine learning and deep learning methods for sex estimation of infant individuals from the analysis of 2D images of the ilium.
International journal of legal medicine
Jul 16, 2021
Reducing the subjectivity of the methods used for biological profile estimation is, at present, a priority research line in forensic anthropology. To achieve this, artificial intelligence (AI) techniques can be a valuable tool yet to be exploited in ...
Deep learning-assisted (automatic) diagnosis of glaucoma using a smartphone.
The British journal of ophthalmology
Jul 14, 2021
BACKGROUND/AIMS: To validate a deep learning algorithm to diagnose glaucoma from fundus photography obtained with a smartphone.
Reproducible Naevus Counts Using 3D Total Body Photography and Convolutional Neural Networks.
Dermatology (Basel, Switzerland)
Jul 8, 2021
BACKGROUND: The number of naevi on a person is the strongest risk factor for melanoma; however, naevus counting is highly variable due to lack of consistent methodology and lack of inter-rater agreement. Machine learning has been shown to be a valuab...
Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images.
Nature biomedical engineering
Jun 15, 2021
Regular screening for the early detection of common chronic diseases might benefit from the use of deep-learning approaches, particularly in resource-poor or remote settings. Here we show that deep-learning models can be used to identify chronic kidn...
Metadata
Blood Glucose
Photography
ROC Curve
Body Weight
Humans
Male
Glomerular Filtration Rate
Diabetes Mellitus, Type 2
Retina
Neural Networks, Computer
Middle Aged
Body Mass Index
Renal Insufficiency, Chronic
Body Height
Prospective Studies
Disease Progression
Area Under Curve
Image Interpretation, Computer-Assisted
Female
Deep Learning
Fundus Oculi
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