A5083146733- Retinal Imaging and Analysis
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
- Retinal and Optic Conditions
- Dental Research and COVID-19
- Mobile Health and mHealth Applications
- COVID-19 diagnosis using AI
- Blood Pressure and Hypertension Studies
- Dental Radiography and Imaging
- Digital Imaging for Blood Diseases
- Oral microbiology and periodontitis research
- Telemedicine and Telehealth Implementation
- Dental Health and Care Utilization
- Medical Imaging and Analysis
- Acute Ischemic Stroke Management
- Infant Development and Preterm Care
- Radiomics and Machine Learning in Medical Imaging
- Family and Patient Care in Intensive Care Units
- Cardiovascular Health and Disease Prevention
- Respiratory Support and Mechanisms
- Asthma and respiratory diseases
- Maternal Mental Health During Pregnancy and Postpartum
- Advanced X-ray and CT Imaging
- AI in cancer detection
- Social Media in Health Education
Australian e-Health Research Centre
2015-2024
Commonwealth Scientific and Industrial Research Organisation
2015-2024
Health Sciences and Nutrition
2024
James Cook University
2021
CSIRO Health and Biosecurity
2016
The earliest detectable change in Alzheimer's disease (AD) is the buildup of amyloid plaque brain. Early detection AD, prior to irreversible neurological damage, important for efficacy current interventions as well development new treatments. Although PiB-PET imaging and CSF are gold standards early AD diagnosis, there practical limitations population screening. AD-related pathology occurs primarily brain, but some hallmarks have also been shown occur other tissues, including retina, which...
<h3>Importance</h3> There has been wide interest in using artificial intelligence (AI)–based grading of retinal images to identify diabetic retinopathy, but such a system never deployed and evaluated clinical practice. <h3>Objective</h3> To describe the performance an AI for retinopathy primary care <h3>Design, Setting, Participants</h3> Diagnostic study patients with diabetes seen at practice 4 physicians Western Australia between December 1, 2016, May 31, 2017. A total 193 consented had...
Objective: This study aimed to evaluate an automated detection system detect and classify permanent teeth on orthopantomogram (OPG) images using convolutional neural networks (CNNs). Methods: In total, 591 digital OPGs were collected from patients older than 18 years. Three qualified dentists performed individual labelling generate the ground truth annotations. A three-step procedure, relying upon CNNs, was proposed for classification of teeth. Firstly, U-Net, a type CNN, preliminary...
Despite great improvement in child oral health, some children subgroups still suffer from higher levels of dental caries. Geographic and socioeconomic barriers the lack access to care services are among common reasons for poor health children. Historically Australia, therapists or have been responsible providing school through School Dental Services (SDS). The current SDS has unable provide sustainable all due a reduction workforce participation limited resources. We propose paradigm shift...
Objective This study aimed to evaluate users' acceptance of a teledentistry model utilizing smartphone camera used for dental caries screening and identify number areas improvement the system. Methods A store-and-forward telemedicine platform "Remote-I" was developed assist in oral diseases using an image acquisition Android app operated by 17 teledental assistants. total 485 images (five per case) were directly transmitted from server. panel five practitioners (graders) assessed reported...
It is widely considered that telemedicine can make positive contributions to dental practice. This study aimed evaluate a cloud-based application for screening oral diseases.A system, based on store-and-forward method, was developed work as platform data storage. An Android facilitate entering demographic details and capturing photos. As proof-of-concept, six volunteers were enrolled in trial obtain images using smartphone cameras. Following an onsite examination, of participants' teeth...
Abstract This paper presents a low computationally intensive and memory efficient convolutional neural network (CNN)-based fully automated system for detection of glaucoma, leading cause irreversible blindness worldwide. Using color fundus photographs, the detects glaucoma in two steps. In first step, optic disc region is determined relying upon You Only Look Once (YOLO) CNN architecture. second step classification ‘glaucomatous’ ‘non-glaucomatous’ performed using MobileNet A simplified...
Abstract Objectives This study was conducted to compare the use of intraoral photographs with unaided visual dental examination as a means caries detection in children. Methods Children aged 4‐ 14‐year‐olds were visually examined at their schools. Following examinations, children had five teeth taken using smartphone camera. Four reviewers, who are different from those children, assessed for caries. Sensitivity, specificity, and inter‐rater reliability agreement estimated assess diagnostic...
Microvascular disease and rarefaction are key pathological hallmarks of hypertension. The retina uniquely allows direct, non-invasive investigation the microvasculature. Recently developed optical coherence tomography angiography now fine retinal capillaries, which may provide a superior marker overall vascular damage. This was prospective cross-sectional study to collect capillary density data on 300 normal eyes from 150 hypertensive adults, investigate possible associations with other...
Robust detection of hemorrhages (HMs) in color fundus image is important an automatic diabetic retinopathy grading system. Detection the that are close to or connected with retinal blood vessels was found be challenge. However, most methods didn't put research on it, even some them mentioned this issue. In paper, we proposed a novel hemorrhage method based rule-based and machine learning methods. We focused improvement vessels, besides detecting independent regions. A preliminary test for HM...
We conducted a six-month feasibility study of mobile-phone-based home monitoring system, called M-COPD. Patients with history moderate Acute Exacerbation COPD (AECOPD) were given mobile phone to record major symptoms (dyspnoea, sputum colour and volume), minor (cough wheezing) vital signs. A care team remotely monitored the recorded data provided clinical interventions. Eight patients (mean age 65 years) completed trial. Ten acute exacerbations occurred during trial successfully treated at...
We report on the prediction performance of artificial intelligence components embedded into a telehealth platform underlying newly established eye screening service connecting metropolitan-based ophthalmologists to patients in remote indigenous communities Northern Territory and Queensland. Two AI-based were evaluated retinal images collected from 328 unique patients: an image quality alert system diabetic retinopathy detection system. Compared ophthalmologists, at individual level,...
Purpose: The retinal blood vessels reflect changes in the brain's micro-circulation and these have been shown to correlate with incidence of diseases such as stroke, heart disease Alzheimer's disease. Studies investigating vasculature routinely use pupil dilation tropicamide optimize image acquisition quality. aim this study was investigate effects on vascular parameters using photography.Methods: performed 41 healthy young subjects both sexes, dilate only right pupil, leaving left a...
A nocturnal non-dipping pattern has been associated with hypertension-mediated organ damage (HMOD), morbidity and mortality. Retinal imaging through application of modern technologies including optical coherence tomography angiography (OCT-A) can provide detailed insights into early vascular damage. In this observational study, we investigated the relationship microscopic density in retina measured OCT-A blood pressure (BP) dipping.Retinal ambulatory BP monitoring (ABPM) data prospectively...
We have developed a new telemedicine system for comprehensive eye examination, diabetic retinopathy (DR) screening, and disease diagnosis treatment. The novel points of the include tablet application facilitating doctor's examination process, component, integrated treatment planning recording.The provided service model through one ophthalmological center linking with multiple remote rural hospitals care in Guangdong province, China.The early stage project study also undertook responsibility...
D1ental caries remains the most common chronic disease in childhood, affecting almost half of all children globally. Dental care and examination living remote rural areas is an ongoing challenge that has been compounded by COVID. The development a validated system with capacity to screen large numbers some degree automation potential facilitate dental screening at low costs. In this study, we aim develop validate deep learning for assessment using color photos. Three state-of-the-art...
Indigenous people are often neglected in eye health research and service delivery programs, despite having a greater burden of vision loss, most which is avoidable. The objective this work was to improve access specialist care for Australians living rural remote areas, by providing direct expert diagnostic services based metropolitan areas through tele-ophthalmology system.
Abstract Patients with progressing chronic kidney disease (CKD) are more likely to experience cardio‐ and cerebrovascular events than end‐stage renal disease. The authors explored whether retinal microvascular calibers differed the degree of impairment between standard extended optic disk may serve as a simple additional tool for risk stratification in this highly vulnerable patient cohort. analyzed central arteriolar venular equivalent (CRAE, CRVE) at different zones (zone B&C) using...
We describe the establishment of a new tele-eye care solution over Broadband Satellite service, connecting metropolitan-based ophthalmologists to patients with eye conditions in rural and remote Australia. A trial service demonstrates ability telehealth system close gap access services for adult Australians living under-served communities, preventing needless blindness.
Retinal images are long-accepted clinical diagnostic method for ocular diseases. Of late, automated assessment of retinal has proven to be a useful adjunct in decision support systems. In this paper, we propose image registration method, which combine enhancement and non-rigid methods, longitudinal alignment. A further illumination correction gray value matching methods applied the comparison subtraction. The solution can enhance changes subtraction application system. performance proposed...