[HTML][HTML] Trustworthy AI: closing the gap between development and integration of AI systems in ophthalmic practice
C González-Gonzalo, EF Thee, CCW Klaver… - Progress in retinal and …, 2022 - Elsevier
An increasing number of artificial intelligence (AI) systems are being proposed in
ophthalmology, motivated by the variety and amount of clinical and imaging data, as well as …
ophthalmology, motivated by the variety and amount of clinical and imaging data, as well as …
Machine learning in precision diabetes care and cardiovascular risk prediction
Artificial intelligence and machine learning are driving a paradigm shift in medicine,
promising data-driven, personalized solutions for managing diabetes and the excess …
promising data-driven, personalized solutions for managing diabetes and the excess …
A deep learning system for predicting time to progression of diabetic retinopathy
Diabetic retinopathy (DR) is the leading cause of preventable blindness worldwide. The risk
of DR progression is highly variable among different individuals, making it difficult to predict …
of DR progression is highly variable among different individuals, making it difficult to predict …
Deep learning for diabetic retinopathy analysis: a review, research challenges, and future directions
Deep learning (DL) enables the creation of computational models comprising multiple
processing layers that learn data representations at multiple levels of abstraction. In the …
processing layers that learn data representations at multiple levels of abstraction. In the …
Leveraging physiology and artificial intelligence to deliver advancements in health care
Artificial intelligence in health care has experienced remarkable innovation and progress in
the last decade. Significant advancements can be attributed to the utilization of artificial …
the last decade. Significant advancements can be attributed to the utilization of artificial …
Leveraging machine learning and artificial intelligence to improve peripheral artery disease detection, treatment, and outcomes
Peripheral artery disease is an atherosclerotic disorder which, when present, portends poor
patient outcomes. Low diagnosis rates perpetuate poor management, leading to limb loss …
patient outcomes. Low diagnosis rates perpetuate poor management, leading to limb loss …
Potential applications and performance of machine learning techniques and algorithms in clinical practice: a systematic review
Purpose The advent of clinically adapted machine learning algorithms can solve numerous
problems ranging from disease diagnosis and prognosis to therapy recommendations. This …
problems ranging from disease diagnosis and prognosis to therapy recommendations. This …
Automated detection and diagnosis of diabetic retinopathy: A comprehensive survey
Diabetic Retinopathy (DR) is a leading cause of vision loss in the world. In the past few
years, artificial intelligence (AI) based approaches have been used to detect and grade DR …
years, artificial intelligence (AI) based approaches have been used to detect and grade DR …
Artificial intelligence in ophthalmology: The path to the real-world clinic
Z Li, L Wang, X Wu, J Jiang, W Qiang, H **e… - Cell Reports …, 2023 - cell.com
Artificial intelligence (AI) has great potential to transform healthcare by enhancing the
workflow and productivity of clinicians, enabling existing staff to serve more patients …
workflow and productivity of clinicians, enabling existing staff to serve more patients …
Artificial intelligence for diabetes care: current and future prospects
Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise
care for people with diabetes and adapt treatments for complex presentations. However, the …
care for people with diabetes and adapt treatments for complex presentations. However, the …