Innovative technologies to address neglected tropical diseases in African settings with persistent sociopolitical instability
The health, economic, and social burden of neglected tropical diseases (NTDs) in Africa
remains substantial, with elimination efforts hindered by persistent sociopolitical instability …
remains substantial, with elimination efforts hindered by persistent sociopolitical instability …
Deep learning in neglected vector-borne diseases: a systematic review
A Mishra, A Pandey, R Malhotra - International Journal of System …, 2024 - Springer
This study explores the application of Deep Learning in combating neglected vector-borne
Diseases, a significant global health concern, particularly in resource-limited areas. It …
Diseases, a significant global health concern, particularly in resource-limited areas. It …
[HTML][HTML] Adaptive feature selection for active trachoma image classification
Trachoma is a neglected tropical eye disease caused by ocular strains of Chlamydia
trachomatis, which affects millions of people worldwide. To examine the eye for signs of …
trachomatis, which affects millions of people worldwide. To examine the eye for signs of …
[HTML][HTML] Trachoma
B Ahmad, M Zeppieri, BC Patel - StatPearls [internet], 2024 - ncbi.nlm.nih.gov
Objectives: Identify the early clinical manifestations and risk factors associated with
trachoma. Implement evidence-based treatment strategies, including antibiotic therapy and …
trachoma. Implement evidence-based treatment strategies, including antibiotic therapy and …
[HTML][HTML] Code-Free Deep Learning Glaucoma Detection On Color Fundus Images
Objective Code-free deep learning (CFDL) allows clinicians with no coding experience to
build their own artificial intelligence models. This study assesses the performance of CFDL …
build their own artificial intelligence models. This study assesses the performance of CFDL …
Automated Machine Learning versus Expert-Designed Models in Ocular Toxoplasmosis: Detection and Lesion Localization Using Fundus Images
ABSTRACT Purpose Automated machine learning (AutoML) allows clinicians without coding
experience to build their own deep learning (DL) models. This study assesses the …
experience to build their own deep learning (DL) models. This study assesses the …
[HTML][HTML] Ophthalmology's new horizon: Moving from reactive care to proactive artificial intelligence solutions
Artificial intelligence (AI) is the next revolution in health care, poised to usher in monumental
improvements in patient care. We will transition from reactive medicine to one that is …
improvements in patient care. We will transition from reactive medicine to one that is …
PViT: Pooling Vision Transformer for Active Trachoma Image Classification
Trachoma, a preventable eye infection, poses a significant risk of blindness without timely
detection and treatment. In response to this urgent need, this paper develops PViT, a novel …
detection and treatment. In response to this urgent need, this paper develops PViT, a novel …
[PDF][PDF] A Review On Trachoma: Etiology, Epidemiology, Pathophysiology, Differential Diagnosis, Clinical Management And Treatment Modalities
P Tanwar, M Naagar, MK Maity - researchgate.net
A neglected tropical illness that can lead to blindness, trachoma is brought on by infection
with conjunctival strains of Chlamydia trachomatis [1, 2]. This bacterial infection mostly …
with conjunctival strains of Chlamydia trachomatis [1, 2]. This bacterial infection mostly …