Artificial intelligence to aid glaucoma diagnosis and monitoring: state of the art and new directions

R Nunez, A Harris, O Ibrahim, J Keller, CK Wikle… - Photonics, 2022 - mdpi.com
Recent developments in the use of artificial intelligence in the diagnosis and monitoring of
glaucoma are discussed. To set the context and fix terminology, a brief historic overview of …

Learning-based systems for assessing hazard places of contagious diseases and diagnosing patient possibility

M Davoodi, M Ghaffari - Expert Systems with Applications, 2023 - Elsevier
To manage the propagation of infectious diseases, particularly fast-spreading pandemics, it
is necessary to provide information about possible infected places and individuals, however …

Deep Learning to Predict Glaucoma Progression using Structural Changes in the Eye

S Mandal - 2023 - search.proquest.com
Glaucoma is a group of chronic eye diseases characterized by optic neuropathy, which
causes irreversible vision loss. It is caused by progressive degeneration of the optic nerve …

Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling

YY Liu, A Moreno, MA Xu, S Li, JC McDaniel… - arXiv preprint arXiv …, 2021 - arxiv.org
The Continuous-Time Hidden Markov Model (CT-HMM) is an attractive approach to
modeling disease progression due to its ability to describe noisy observations arriving …

[HTML][HTML] Mobile and Computational Health

M Xu, VB Aydemir, JM Rehg - rehg-lab.github.io
The development of effective treatments for chronic diseases, such as heart disease,
diabetes, cancer, and Alzheimer's, is a key global healthcare challenge. These conditions …