AIMC Topic: Singapore

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Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study.

The Lancet. Digital health Jan 1, 2021
BACKGROUND: In current approaches to vision screening in the community, a simple and efficient process is needed to identify individuals who should be referred to tertiary eye care centres for vision loss related to eye diseases. The emergence of dee...
Male Middle Aged Deep Learning ROC Curve Female Aged Sensitivity and Specificity Asian People Eye Diseases Proof of Concept Study Photography Vision Disorders Area Under Curve Singapore Humans Algorithms
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Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms.

The Lancet. Digital health Oct 1, 2020
BACKGROUND: The application of deep learning to retinal photographs has yielded promising results in predicting age, sex, blood pressure, and haematological parameters. However, the broader applicability of retinal photograph-based deep learning for ...
Biomarkers Republic of Korea Female Humans Neural Networks, Computer Algorithms ROC Curve Image Processing, Computer-Assisted Europe Area Under Curve Male Middle Aged Deep Learning United Kingdom Beijing Creatinine Asia Retina Photography Singapore Ethnicity Muscles Body Composition Models, Biological
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Artificial Intelligence: A Singapore Response.

Annals of the Academy of Medicine, Singapore Apr 1, 2020
Delivery of Health Care Singapore Humans Artificial Intelligence
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Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department.

Medicine Feb 1, 2019
Early identification of high-risk septic patients in the emergency department (ED) may guide appropriate management and disposition, thereby improving outcomes. We compared the performance of machine learning models against conventional risk stratifi...
Singapore Heart Rate Organ Dysfunction Scores Socioeconomic Factors Triage Emergency Service, Hospital Hospital Mortality Systemic Inflammatory Response Syndrome ROC Curve Reproducibility of Results Aged Severity of Illness Index Humans Aged, 80 and over Sepsis Male Machine Learning Middle Aged Female
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Artificial Intelligence and Radiology in Singapore: Championing a New Age of Augmented Imaging for Unsurpassed Patient Care.

Annals of the Academy of Medicine, Singapore Jan 1, 2019
Artificial intelligence (AI) has been positioned as being the most important recent advancement in radiology, if not the most potentially disruptive. Singapore radiologists have been quick to embrace this technology as part of the natural progression...
Artificial Intelligence Machine Learning Humans Neural Networks, Computer Societies, Medical Image Processing, Computer-Assisted Radiology Singapore
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Automated Classification Using End-to-End Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
According to a study [1] by the Ministry of Health in Singapore, since 2009, cancer, ischaemic heart disease and pneumonia together accounted for approximately 60% of the total causes of death. It has been 9 years, and Pneumonia and other Acute Upper...
Diagnosis, Computer-Assisted Deep Learning Singapore Neural Networks, Computer Quality of Life
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Can Robots Accelerate the Learning Curve for Surgical Training? An Analysis of Residents and Medical Students.

Annals of the Academy of Medicine, Singapore Jan 1, 2018
Surgical traineeship has traditionally been based on a master apprentice model where learning takes place in the operating theatre. This approach has changed over the past few years with greater emphasis on surgical training taking place within the s...
Learning Curve Humans Cholecystectomy, Laparoscopic Female Internship and Residency Adult Simulation Training Educational Measurement Singapore Students, Medical Robotics Robotic Surgical Procedures Male Clinical Competence
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Selection and Short-Term Outcomes of Living Kidney Donors in Singapore - An Analysis of the Donor Care Registry.

Annals of the Academy of Medicine, Singapore Nov 1, 2017
INTRODUCTION: Transplant rates in Singapore have been falling and there is limited information on baseline characteristics and clinical outcomes of living kidney donors nationally. This study aimed to determine the safety of living kidney donor trans...
Nephrectomy Mortality Lost to Follow-Up Age Factors Living Donors Renal Insufficiency, Chronic Kidney Failure, Chronic Singapore Glomerular Filtration Rate Humans Registries Proportional Hazards Models Follow-Up Studies Kidney Transplantation Postoperative Complications Multivariate Analysis
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