Artificial intelligence: the unstoppable revolution in ophthalmology
D Benet, OJ Pellicer-Valero - Survey of ophthalmology, 2022 - Elsevier
Artificial intelligence (AI) is an unstoppable force that is starting to permeate all aspects of
our society as part of the revolution being brought into our lives (and into medicine) by the …
our society as part of the revolution being brought into our lives (and into medicine) by the …
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 …
Quality assessment standards in artificial intelligence diagnostic accuracy systematic reviews: a meta-research study
S Jayakumar, V Sounderajah, P Normahani… - NPJ Digital …, 2022 - nature.com
Artificial intelligence (AI) centred diagnostic systems are increasingly recognised as robust
solutions in healthcare delivery pathways. In turn, there has been a concurrent rise in …
solutions in healthcare delivery pathways. In turn, there has been a concurrent rise in …
Detecting retinal vasculature as a key biomarker for deep Learning-based intelligent screening and analysis of diabetic and hypertensive retinopathy
Retinal vessels are considered important biomarkers for the detection of retinal diseases,
like diabetic retinopathy (caused by diabetes) and hypertensive retinopathy (caused by …
like diabetic retinopathy (caused by diabetes) and hypertensive retinopathy (caused by …
Application of artificial intelligence in COVID-19 pandemic: bibliometric analysis
The application of artificial intelligence (AI) to health has increased, including to COVID-19.
This study aimed to provide a clear overview of COVID-19-related AI publication trends …
This study aimed to provide a clear overview of COVID-19-related AI publication trends …
[HTML][HTML] Benefits of information technology in healthcare: artificial intelligence, internet of things, and personal health records
H Chang, JY Choi, J Shim, M Kim… - Healthcare Informatics …, 2023 - ncbi.nlm.nih.gov
Objectives Systematic evaluations of the benefits of health information technology (HIT) play
an essential role in enhancing healthcare quality by improving outcomes. However, there is …
an essential role in enhancing healthcare quality by improving outcomes. However, there is …
Assessing the risk of dengue severity using demographic information and laboratory test results with machine learning
SW Huang, HP Tsai, SJ Hung, WC Ko… - PLoS neglected tropical …, 2020 - journals.plos.org
Background Dengue virus causes a wide spectrum of disease, which ranges from
subclinical disease to severe dengue shock syndrome. However, estimating the risk of …
subclinical disease to severe dengue shock syndrome. However, estimating the risk of …
Deep learning for the diagnosis of esophageal cancer in endoscopic images: a systematic review and meta-analysis
Simple Summary Esophageal cancer is the seventh leading cause of cancer-related
mortality worldwide, with a 5-year survival rate of around 20%. Recently, deep learning (DL) …
mortality worldwide, with a 5-year survival rate of around 20%. Recently, deep learning (DL) …
Accelerating ophthalmic artificial intelligence research: the role of an open access data repository
This piece demonstrates that with readily accessible data, immense progress can be
achieved clinically and methodologically to realize artificial intelligence's impact on clinical …
achieved clinically and methodologically to realize artificial intelligence's impact on clinical …
[HTML][HTML] Machine learning approach to reduce alert fatigue using a disease medication–related clinical decision support system: model development and validation
Background Computerized physician order entry (CPOE) systems are incorporated into
clinical decision support systems (CDSSs) to reduce medication errors and improve patient …
clinical decision support systems (CDSSs) to reduce medication errors and improve patient …