Artificial intelligence applications in cataract and refractive surgeries
R Rampat, G Debellemanière, D Gatinel… - Current Opinion in …, 2024 - journals.lww.com
The impact of artificial intelligence on cataract and refractive surgeries is becoming
increasingly evident through improved diagnostic accuracy, enhanced patient education …
increasingly evident through improved diagnostic accuracy, enhanced patient education …
[HTML][HTML] Development of Oculomics Artificial Intelligence for Cardiovascular Risk Factors: A Case Study in Fundus Oculomics for HbA1c Assessment and Clinically …
Artificial Intelligence (AI) is transforming healthcare, notably in ophthalmology, where its
ability to interpret images and data can significantly enhance disease diagnosis and patient …
ability to interpret images and data can significantly enhance disease diagnosis and patient …
[HTML][HTML] Advanced Temporal Deep Learning Framework for Enhanced Predictive Modeling in Industrial Treatment Systems
S Ramya, S Srinath, P Tuppad - Results in Engineering, 2025 - Elsevier
This research introduces an innovative hybrid modeling framework tailored for interval
prediction, aimed at forecasting water quality parameters in industrial sewage treatment …
prediction, aimed at forecasting water quality parameters in industrial sewage treatment …
Patterns in refractive error and treatment delay in keratoconus–An Australian study
S Bobba, A Wood, J Males, Y Kerdraon - Plos one, 2024 - journals.plos.org
Keratoconus is the most common primary corneal ectasia and is associated with significant
morbidity. In its early stages, keratoconus is often asymptomatic, making the identification of …
morbidity. In its early stages, keratoconus is often asymptomatic, making the identification of …
Medical Image Generation Techniques for Data Augmentation: Disc-VAE versus GAN
AI algorithms can analyze medical images, such as X-rays, MRIs, and CT scans, assisting
doctors in detecting diseases and making more accurate diagnoses. However, large …
doctors in detecting diseases and making more accurate diagnoses. However, large …
[PDF][PDF] Cognitive Map Construction Based on Grid Representation
Y Du, H Yao - sciendo.com
This paper investigates a grid-representation-based approach to spatial cognition for
intelligent agents, aiming to develop an effective neural network model that simulates the …
intelligent agents, aiming to develop an effective neural network model that simulates the …