[HTML][HTML] Evaluation of artificial intelligence techniques in disease diagnosis and prediction
N Ghaffar Nia, E Kaplanoglu, A Nasab - Discover Artificial Intelligence, 2023 - Springer
A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …
through high-tech digital devices. The application of artificial intelligence (AI) in the …
[HTML][HTML] AI-based monitoring of retinal fluid in disease activity and under therapy
U Schmidt-Erfurth, GS Reiter, S Riedl… - Progress in retinal and …, 2022 - Elsevier
Retinal fluid as the major biomarker in exudative macular disease is accurately visualized by
high-resolution three-dimensional optical coherence tomography (OCT), which is used …
high-resolution three-dimensional optical coherence tomography (OCT), which is used …
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-aided optical imaging for cancer theranostics
The use of artificial intelligence (AI) to assist biomedical imaging have demonstrated its high
accuracy and high efficiency in medical decision-making for individualized cancer medicine …
accuracy and high efficiency in medical decision-making for individualized cancer medicine …
Optical coherence tomography in the management of diabetic macular oedema
Diabetic macular oedema (DMO) is the major cause of visual impairment in people with
diabetes. Optical coherence tomography (OCT) is now the most widely used modality to …
diabetes. Optical coherence tomography (OCT) is now the most widely used modality to …
[HTML][HTML] Optical coherence tomography imaging biomarkers associated with neovascular age-related macular degeneration: a systematic review
RLW Hanson, A Airody, S Sivaprasad, RP Gale - Eye, 2023 - nature.com
The aim of this systematic literature review is twofold,(1) detail the impact of retinal
biomarkers identifiable via optical coherence tomography (OCT) on disease progression …
biomarkers identifiable via optical coherence tomography (OCT) on disease progression …
[HTML][HTML] Automated deep learning-based AMD detection and staging in real-world OCT datasets (PINNACLE study report 5)
O Leingang, S Riedl, J Mai, GS Reiter, G Faustmann… - Scientific Reports, 2023 - nature.com
Real-world retinal optical coherence tomography (OCT) scans are available in abundance
in primary and secondary eye care centres. They contain a wealth of information to be …
in primary and secondary eye care centres. They contain a wealth of information to be …
Validation and clinical applicability of whole-volume automated segmentation of optical coherence tomography in retinal disease using deep learning
Importance Quantitative volumetric measures of retinal disease in optical coherence
tomography (OCT) scans are infeasible to perform owing to the time required for manual …
tomography (OCT) scans are infeasible to perform owing to the time required for manual …
[HTML][HTML] The development and clinical application of innovative optical ophthalmic imaging techniques
P Alexopoulos, C Madu, G Wollstein… - Frontiers in …, 2022 - frontiersin.org
The field of ophthalmic imaging has grown substantially over the last years. Massive
improvements in image processing and computer hardware have allowed the emergence of …
improvements in image processing and computer hardware have allowed the emergence of …
[HTML][HTML] Teleophthalmology and retina: a review of current tools, pathways and services
Telemedicine, the use of telecommunication and information technology to deliver
healthcare remotely, has evolved beyond recognition since its inception in the 1970s …
healthcare remotely, has evolved beyond recognition since its inception in the 1970s …