A5074819820- Wound Healing and Treatments
- Pressure Ulcer Prevention and Management
- Diabetic Foot Ulcer Assessment and Management
- Retinal Imaging and Analysis
- Glaucoma and retinal disorders
- Diagnosis and Treatment of Venous Diseases
- Digital Imaging for Blood Diseases
- Retinal and Optic Conditions
- Retinal Diseases and Treatments
- Venous Thromboembolism Diagnosis and Management
- Acute Ischemic Stroke Management
- Dementia and Cognitive Impairment Research
- Optical Coherence Tomography Applications
- Stroke Rehabilitation and Recovery
Tan Tock Seng Hospital
2020-2025
Nanyang Technological University
2019-2021
Singapore Eye Research Institute
2011
Singapore National Eye Center
2011
Abstract The aim of this study is to evaluate the clinical and economic burden wound care in Tropics via a 5‐year institutional population health review. Within our data analysis, wounds are broadly classified into neuro‐ischaemic ulcers (NIUs), venous leg (VLUs), pressure injuries (PIs), surgical site infections (SSIs). Between 2013 2017, there were total 56 583 wound‐related inpatient admissions for 41 461 patients, with 95.1% increase episodes per 1000 over period (142 277 respectively)....
There is a lifetime risk of 15% to 25% development diabetic foot ulcers (DFUs) in patients with diabetes mellitus. DFUs need be followed up on and assessed for complications and/or resolution, which was traditionally performed using manual measurement. Our study aims compare the intra- inter-rater reliability an artificial intelligence-enabled wound imaging mobile application (CARES4WOUNDS [C4W] system, Tetsuyu, Singapore) traditional This prospective cross-sectional 28 from June 2020...
Background: Diabetic foot ulcers (DFUs) are serious complications of diabetes which can lead to lower extremity amputations (LEAs). Risk prediction models identify high-risk patients who benefit from early intervention. Machine learning (ML) methods have shown promising utility in medical applications. Explainable modeling help its integration and acceptance. This study aims develop a risk model using ML algorithms with explainability for LEA DFU patients. Methods: is retrospective review...
Abstract Diabetic foot wounds (DFW) are notoriously difficult to treat owing poor vascularity, delayed healing and higher rates of infection. Human‐derived acellular dermal matrices (ADM) have been used in DFW treatment, utilizing a matrix scaffold for new tissue generation. We investigate the efficacy micronized injectable human‐derived ADM treatment DFW. retrospectively recruited 13 patients with diabetic wounds. Wounds were adequately debrided, was applied. Wound sizes recorded prior at 2...
Introduction Diabetes foot disease (DFD) contributes to poor quality of life, clinical and economic burden. Multidisciplinary diabetes teams provide prompt access specialist thereby improving limb salvage. We present a 17-year review an inpatient multidisciplinary care path (MCCP) for DFD in Singapore. Methods This was retrospective cohort study patients admitted enrolled our MCCP 1700-bed university hospital from 2005 2021. Results There were 9279 with mean 545 (±119) admissions per year....
Post-stroke depression and anxiety, collectively known as post-stroke adverse mental outcome (PSAMO) are common sequelae of stroke. About 30% stroke survivors develop about 20% anxiety. Stroke with PSAMO have poorer health outcomes higher mortality greater functional disability. In this study, we aimed to a machine learning (ML) model predict the risk PSAMO. We retrospectively studied 1780 patients who were divided into vs. no groups based on results validated anxiety questionnaires. The...
Abstract Venous leg ulceration results in significant morbidity. However, the majority of studies conducted are on Western populations. This study aims to evaluate wound healing and quality life for patients with venous ulcers (VLUs) a Southeast Asian population. is multi‐centre prospective cohort from Nov 2019 2021. All were started 2‐ or 4‐layer compression bandage reviewed weekly fortnightly. Our outcomes healing, factors predictive EuroQol 5‐dimensional 5‐level (EQ‐5D‐5L) health states....
Abstract Chronic wounds contribute to significant healthcare and economic burden worldwide. Wound assessment remains challenging given its complex dynamic nature. The use of artificial intelligence (AI) machine learning methods in wound analysis is promising. Explainable modelling can help integration acceptance systems. We aim develop an explainable AI model for analysing vascular images among Asian population. Two thousand nine hundred fifty‐seven from a image registry tertiary institution...
Present guidelines recommend a multidisciplinary team (MDT) approach to diabetic foot ulcer (DFU) care, but relevant data from Asia are lacking. We aim evaluate the clinical and economic outcomes of an MDT in lower extremity amputation prevention programme (LEAPP) for DFU care Asian population. performed case-control study 84 patients with between January 2017 October (retrospective control) vs 117 December July 2018 (prospective LEAPP cohort). Comparing retrospective cohort cohort, there...
Abstract Chronic venous insufficiency is a chronic disease of the system with prevalence 25% to 40% in females and 10% 20% males. Venous leg ulcers (VLUs) result from insufficiency. VLUs have 0.18% 1% 1‐year recurrence 50%, bearing significant socioeconomic burden. It therefore important for regular assessment monitoring prevent worsening. Our study aims assess intra‐ inter‐rater reliability machine learning‐based handheld 3‐dimensional infrared wound imaging device (WoundAide [WA] system,...