[HTML][HTML] Novel artificial intelligence for diabetic retinopathy and diabetic macular edema: what is new in 2024?

S Vujosevic, C Limoli, P Nucci - Current Opinion in …, 2024 - journals.lww.com
This review explores the emerging technology of artificial intelligence to assess the potential
to improve patient outcomes and optimize personalized management in healthcare delivery …

A competition for the diagnosis of myopic maculopathy by artificial intelligence algorithms

B Qian, B Sheng, H Chen, X Wang, T Li, Y Jin… - JAMA …, 2024 - jamanetwork.com
Importance Myopic maculopathy (MM) is a major cause of vision impairment globally.
Artificial intelligence (AI) and deep learning (DL) algorithms for detecting MM from fundus …

Foundation Model Makes Clustering a Better Initialization for Active Learning

H Yuan, C Hong - arXiv preprint arXiv:2402.02561, 2024 - arxiv.org
Active learning selects the most informative samples from the unlabeled dataset to annotate
in the context of a limited annotation budget. While numerous methods have been proposed …

Identifying Primary Proximal Caries Lesions in Pediatric Patients From Bitewing Radiographs Using Artificial Intelligence

C Gonzalez, Z Badr, HC Güngör, S Han… - Pediatric …, 2024 - ingentaconnect.com
Purpose: To develop a no-code artificial intelligence (AI) model capable of identifying
primary proximal surface caries using bitewings among pediatric patients. Methods: One …

[PDF][PDF] Foundation Model Makes Clustering A Better Initialization For Cold-Start Active Learning

H Yuan, C Hong - arXiv preprint arXiv:2402.02561, 2024 - han-yuan-med.github.io
Active learning selects the most informative samples from the unlabelled dataset to annotate
in the context of a limited annotation budget. While numerous methods have been proposed …

Online Artificial Intelligence Chatbot Aptitude in Detection of Referable Diabetic Retinopathy

J Tsui, O Aftab, H Khan, B VanderBeek, D Scoles… - 2024 - researchsquare.com
Objective: To evaluate ChatGPT's ability to identify more than mild diabetic retinopathy
(mtmDR) and vision-threatening diabetic retinopathy (VTDR) from single fundus images …

The American society of retina specialists artificial intelligence task force report

KE Talcott, JE Kim, Y Modi… - Journal of …, 2020 - journals.sagepub.com
Artificial intelligence (AI) is a growing area that relies on the heavy use of diagnostic imaging
within the field of retina to offer exciting advancements in diagnostic capability to better …

Diabetic retinopathy screening through artificial intelligence algorithms: A systematic review

Z Farahat, N Zrira, N Souissi, Y Bennani… - Survey of …, 2024 - Elsevier
Diabetic retinopathy (DR) poses a significant challenge in diabetes management, with its
progression often asymptomatic until advanced stages. This underscores the urgent need …