[HTML][HTML] Endpoints for clinical trials in ophthalmology
With the identification of novel targets, the number of interventional clinical trials in
ophthalmology has increased. Visual acuity has for a long time been considered the gold …
ophthalmology has increased. Visual acuity has for a long time been considered the gold …
Basic of machine learning and deep learning in imaging for medical physicists
L Manco, N Maffei, S Strolin, S Vichi, L Bottazzi… - Physica Medica, 2021 - Elsevier
The manuscript aims at providing an overview of the published algorithms/automation tool
for artificial intelligence applied to imaging for Healthcare. A PubMed search was performed …
for artificial intelligence applied to imaging for Healthcare. A PubMed search was performed …
Artificial intelligence and deep learning in ophthalmology
Artificial intelligence (AI), in particular deep learning (DL), has gained significant interest
recently from healthcare systems. DL has been widely applied to detect and classify major …
recently from healthcare systems. DL has been widely applied to detect and classify major …
Artificial intelligence and machine learning in ophthalmology: A review
O Srivastava, M Tennant, P Grewal… - Indian Journal of …, 2023 - journals.lww.com
Since the introduction of artificial intelligence (AI) in 1956 by John McCarthy, the field has
propelled medicine, optimized efficiency, and led to technological breakthroughs in clinical …
propelled medicine, optimized efficiency, and led to technological breakthroughs in clinical …
Applications of artificial intelligence and deep learning in glaucoma
D Chen, EA Ran, TF Tan… - The Asia-Pacific …, 2023 - journals.lww.com
Diagnosis and detection of progression of glaucoma remains challenging. Artificial
intelligence–based tools have the potential to improve and standardize the assessment of …
intelligence–based tools have the potential to improve and standardize the assessment of …
Artificial intelligence in glaucoma: opportunities, challenges, and future directions
Artificial intelligence (AI) has shown excellent diagnostic performance in detecting various
complex problems related to many areas of healthcare including ophthalmology. AI …
complex problems related to many areas of healthcare including ophthalmology. AI …
Artificial intelligence meets neuro-ophthalmology
YY Leong, C Vasseneix, MT Finkelstein… - The Asia-Pacific …, 2022 - journals.lww.com
Recent advances in artificial intelligence have provided ophthalmologists with fast, accurate,
and automated means for diagnosing and treating ocular conditions, paving the way to a …
and automated means for diagnosing and treating ocular conditions, paving the way to a …
Policy-driven, multimodal deep learning for predicting visual fields from the optic disc and OCT imaging
Purpose To develop and validate a deep learning (DL) system for predicting each point on
visual fields (VFs) from disc and OCT imaging and derive a structure–function mapping …
visual fields (VFs) from disc and OCT imaging and derive a structure–function mapping …
Deep learning estimation of 10-2 and 24-2 visual field metrics based on thickness maps from macula OCT
Purpose To develop deep learning (DL) systems estimating visual function from macula-
centered spectral-domain (SD) OCT images. Design Evaluation of a diagnostic technology …
centered spectral-domain (SD) OCT images. Design Evaluation of a diagnostic technology …
[HTML][HTML] Estimating global visual field indices in glaucoma by combining macula and optic disc OCT scans using 3-dimensional convolutional neural networks
Purpose To evaluate the accuracy at which visual field global indices could be estimated
from OCT scans of the retina using deep neural networks and to quantify the contributions to …
from OCT scans of the retina using deep neural networks and to quantify the contributions to …