scispace - formally typeset
Search or ask a question
Institution

National University Hospital

Healthcare
About: National University Hospital is a healthcare organization based out in . It is known for research contribution in the topics: Medicine & Internal medicine. The organization has 39 authors who have published 55 publications receiving 96 citations. The organization is also known as: Hospital Universiti Nasional Singapura.

Papers published on a yearly basis

Papers
More filters
Journal ArticleDOI
TL;DR: In this article , the authors presented a new era of immersive and real-time experiences to enhance human-to-human social interaction and connection, with the use of artificial intelligence/deep learning, internet of things, telecommunication network/virtual platform and blockchain.
Abstract: The outbreak of the coronavirus disease 2019 has further increased the urgent need for digital transformation within the health care settings, with the use of artificial intelligence/deep learning, internet of things, telecommunication network/virtual platform, and blockchain. The recent advent of metaverse, an interconnected online universe, with the synergistic combination of augmented, virtual, and mixed reality described several years ago, presents a new era of immersive and real-time experiences to enhance human-to-human social interaction and connection. In health care and ophthalmology, the creation of virtual environment with three-dimensional (3D) space and avatar, could be particularly useful in patient-fronting platforms (eg, telemedicine platforms), operational uses (eg, meeting organization), digital education (eg, simulated medical and surgical education), diagnostics, and therapeutics. On the other hand, the implementation and adoption of these emerging virtual health care technologies will require multipronged approaches to ensure interoperability with real-world virtual clinical settings, user-friendliness of the technologies and clinical efficiencies while complying to the clinical, health economics, regulatory, and cybersecurity standards. To serve the urgent need, it is important for the eye community to continue to innovate, invent, adapt, and harness the unique abilities of virtual health care technology to provide better eye care worldwide.

37 citations

Journal ArticleDOI
TL;DR: The PAUL Glaucoma Implant (PGI) as discussed by the authors is a tube shunt that is implanted in patients with advanced glauchea to reduce intraocular pressure (IOP).
Abstract: To determine 2-year efficacy of the PAUL Glaucoma Implant (PGI), a novel glaucoma tube shunt in patients with advanced glaucoma.Patients with glaucoma refractory to maximum medical therapy or previous failed glaucoma surgery.Retrospective review of all patients who had underwent PGI implantation in a single tertiary institution between May 1, 2017 and March 30, 2021.Primary outcome measure was failure defined as intraocular pressure (IOP) >18 mm Hg or <6 mm Hg on 2 consecutive visits after 3 months, reoperation for IOP-related indication, explantation of implant or loss of light perception vision. Complete success was defined as unmedicated IOP ≤18 mm Hg or ≥6 mm Hg in the absence of failure.Forty-five eyes in 45 patients were identified, with mean follow-up duration of 24.9±2.0 months. Thirty patients (66.7%) had primary glaucoma and 11 (24.4%) with previous glaucoma surgery. At 2 years following surgery, 8 eyes (17.8%) fulfilled the failure criteria with 32 eyes (71.1%) achieving complete success. Compared with mean medicated preoperative IOP (19.8±6.3 mm Hg), postoperative IOP at 24 months was 13.9±3.7 (P<0.01). Mean number of medications decreased from 3.2±0.8 preoperatively to 0.29±0.65 at 24 months (P<0.01). Significant complications included self-limiting shallow anterior chamber (n=10; 22.2%), hypotony requiring intervention (n=4; 8.9%) and tube occlusion (n=4; 8.9%).The PGI was able to achieve sustained IOP reduction with reduction of medications at 2 years postsurgery in patients with advanced glaucoma.

7 citations

Journal ArticleDOI
03 Jan 2022
TL;DR: In this article , the authors describe and assess various artificial grow light technologies, solar spectral shaping and redirection, and hybrid lighting technologies to generate high and consistent crop yield in controlled environment agriculture.
Abstract: Light is one of the most important ingredients for healthy plant growth. It is also responsible for triggering a number of plant physiological responses. For centuries, humans have relied on sunlight and good climate for ideal crop growth. As such, extensive research has been carried out to study how to mimic sunlight or even better. Armed with modern technology, farmers can now gain greater control over light management in controlled environment agriculture (CEA). Growing plants in CEA requires delivering the required photons to the plant via artificial means: by redirecting sunlight indoors, by employing artificial lights, or by using a hybrid lighting system. Using artificial lights, the required energy for photosynthesis can be provided regardless of sunlight availability. This Review describes and assesses various artificial grow light technologies, solar spectral shaping and redirection, and hybrid lighting technologies to generate high and consistent crop yield in CEA. In addition, this Review also captures the recent advances in the use of color conversion films in manipulating light spectrum to cater to the growth of plants.

7 citations

Journal ArticleDOI
TL;DR: In this article , a stochastic dynamical system in which the parameter-to-data map is embedded is presented, with the goal of employing techniques from nonlinear Kalman filtering to estimate the parameter given the data.

7 citations

Journal ArticleDOI
05 Jul 2022-Cancers
TL;DR: In this article , the authors discuss the strengths and limitations of various imaging modalities in diagnosing MSCC, the role of imaging in stereotactic body radiotherapy (SBRT) for MSCC treatment, and recent advances in deep learning (DL) tools for diagnosis.
Abstract: Metastatic Spinal Cord Compression (MSCC) is a debilitating complication in oncology patients. This narrative review discusses the strengths and limitations of various imaging modalities in diagnosing MSCC, the role of imaging in stereotactic body radiotherapy (SBRT) for MSCC treatment, and recent advances in deep learning (DL) tools for MSCC diagnosis. PubMed and Google Scholar databases were searched using targeted keywords. Studies were reviewed in consensus among the co-authors for their suitability before inclusion. MRI is the gold standard of imaging to diagnose MSCC with reported sensitivity and specificity of 93% and 97% respectively. CT Myelogram appears to have comparable sensitivity and specificity to contrast-enhanced MRI. Conventional CT has a lower diagnostic accuracy than MRI in MSCC diagnosis, but is helpful in emergent situations with limited access to MRI. Metal artifact reduction techniques for MRI and CT are continually being researched for patients with spinal implants. Imaging is crucial for SBRT treatment planning and three-dimensional positional verification of the treatment isocentre prior to SBRT delivery. Structural and functional MRI may be helpful in post-treatment surveillance. DL tools may improve detection of vertebral metastasis and reduce time to MSCC diagnosis. This enables earlier institution of definitive therapy for better outcomes.

6 citations


Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202317
202236
20212