AIMC Topic: Photography
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Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography.
BMC medical informatics and decision making
Jan 26, 2024
BACKGROUND: The epiretinal membrane (ERM) is a common retinal disorder characterized by abnormal fibrocellular tissue at the vitreomacular interface. Most patients with ERM are asymptomatic at early stages. Therefore, screening for ERM will become in...
A Narrative Review: Opportunities and Challenges in Artificial Intelligence Skin Image Analyses Using Total Body Photography.
The Journal of investigative dermatology
Jan 16, 2024
Artificial intelligence (AI) algorithms for skin lesion classification have reported accuracy at par with and even outperformance of expert dermatologists in experimental settings. However, the majority of algorithms do not represent real-world clini...
Automated Prediction of Photographic Wound Assessment Tool in Chronic Wound Images.
Journal of medical systems
Jan 16, 2024
Many automated approaches have been proposed in literature to quantify clinically relevant wound features based on image processing analysis, aiming at removing human subjectivity and accelerate clinical practice. In this work we present a fully auto...
Segmentation and classification of skin burn images with artificial intelligence: Development of a mobile application.
Burns : journal of the International Society for Burn Injuries
Jan 15, 2024
AIM: This study was conducted to determine the segmentation, classification, object detection, and accuracy of skin burn images using artificial intelligence and a mobile application. With this study, individuals were able to determine the degree of ...
Artificial intelligence for oral squamous cell carcinoma detection based on oral photographs: A comprehensive literature review.
Cancer medicine
Jan 2, 2024
INTRODUCTION: Oral squamous cell carcinoma (OSCC) presents a significant global health challenge. The integration of artificial intelligence (AI) and computer vision holds promise for the early detection of OSCC through the analysis of digitized oral...
Retinal Photograph-based Deep Learning System for Detection of Thyroid-Associated Ophthalmopathy.
The Journal of craniofacial surgery
Dec 11, 2023
BACKGROUND: The diagnosis of thyroid-associated ophthalmopathy (TAO) usually requires a comprehensive examination, including clinical symptoms, radiological examinations, and blood tests. Therefore, cost-effective and noninvasive methods for the dete...
Explainable artificial intelligence model for the detection of geographic atrophy using colour retinal photographs.
BMJ open ophthalmology
Dec 6, 2023
OBJECTIVE: To develop and validate an explainable artificial intelligence (AI) model for detecting geographic atrophy (GA) via colour retinal photographs.
Application of a Deep Learning System to Detect Papilledema on Nonmydriatic Ocular Fundus Photographs in an Emergency Department.
American journal of ophthalmology
Nov 4, 2023
PURPOSE: The Fundus photography vs Ophthalmoscopy Trial Outcomes in the Emergency Department (FOTO-ED) studies showed that ED providers poorly recognized funduscopic findings in patients in the ED. We tested a modified version of the Brain and Optic ...
Deep learning prediction of steep and flat corneal curvature using fundus photography in post-COVID telemedicine era.
Medical & biological engineering & computing
Oct 27, 2023
Recently, fundus photography (FP) is being increasingly used. Corneal curvature is an essential factor in refractive errors and is associated with several pathological corneal conditions. As FP-based examination systems have already been widely distr...
Automatic detection and differential diagnosis of age-related macular degeneration from color fundus photographs using deep learning with hierarchical vision transformer.
Computers in biology and medicine
Oct 25, 2023
Age-related macular degeneration (AMD) is a leading cause of vision loss in the elderly, highlighting the need for early and accurate detection. In this study, we proposed DeepDrAMD, a hierarchical vision transformer-based deep learning model that in...
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