AIMC Topic: Singapore
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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution.
Singapore medical journal
Mar 26, 2024
INTRODUCTION: Deep learning models can assess the quality of images and discriminate among abnormalities in small bowel capsule endoscopy (CE), reducing fatigue and the time needed for diagnosis. They serve as a decision support system, partially aut...
A machine-learning exploration of the exposome from preconception in early childhood atopic eczema, rhinitis and wheeze development.
Environmental research
Feb 19, 2024
BACKGROUND: Most previous research on the environmental epidemiology of childhood atopic eczema, rhinitis and wheeze is limited in the scope of risk factors studied. Our study adopted a machine learning approach to explore the role of the exposome st...
ChatGPT versus human in generating medical graduate exam multiple choice questions-A multinational prospective study (Hong Kong S.A.R., Singapore, Ireland, and the United Kingdom).
PloS one
Aug 29, 2023
INTRODUCTION: Large language models, in particular ChatGPT, have showcased remarkable language processing capabilities. Given the substantial workload of university medical staff, this study aims to assess the quality of multiple-choice questions (MC...
Clinical outcomes of hospitalised individuals with spin-induced exertional rhabdomyolysis.
Annals of the Academy of Medicine, Singapore
Jul 28, 2023
INTRODUCTION: Exertional rhabdomyolysis (ER) is caused by myocyte breakdown after strenuous physical activity. In recent years, the incidence of spin-induced ER (SER) has been increasing. We describe the clinical characteristics, management and outco...
Using early health economic modeling to inform medical innovation development: a soft robotic sock in poststroke patients in Singapore.
International journal of technology assessment in health care
Jan 11, 2023
OBJECTIVES: Based on a real-world collaboration with innovators in applying early health economic modeling, we aimed to offer practical steps that health technology assessment (HTA) researchers and innovators can follow and promote the usage of early...
The rise of robots increases job insecurity and maladaptive workplace behaviors: Multimethod evidence.
The Journal of applied psychology
Oct 10, 2022
Robots are transforming the nature of human work. Although human-robot collaborations can create new jobs and increase productivity, pundits often warn about how robots might replace humans at work and create mass unemployment. Despite these warnings...
Singapore radiographers' perceptions and expectations of artificial intelligence - A qualitative study.
Journal of medical imaging and radiation sciences
Sep 15, 2022
INTRODUCTION: With the emergence of artificial intelligence (AI) in medical imaging, radiographers are likely to be at the forefront of this technological advancement. Studies have therefore been conducted recently to understand radiographers' opinio...
Application of ensemble machine learning algorithms on lifestyle factors and wearables for cardiovascular risk prediction.
Scientific reports
Jan 20, 2022
This study looked at novel data sources for cardiovascular risk prediction including detailed lifestyle questionnaire and continuous blood pressure monitoring, using ensemble machine learning algorithms (MLAs). The reference conventional risk score c...
Hydration Status and Fluid Replacement Strategies of High-Performance Adolescent Athletes: An Application of Machine Learning to Distinguish Hydration Characteristics.
Nutrients
Nov 15, 2021
There are limited data on the fluid balance characteristics and fluid replenishment behaviors of high-performance adolescent athletes. The heterogeneity of hydration status and practices of adolescent athletes warrant efficient approaches to individu...
Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach.
Nature communications
Sep 23, 2021
Assisted reproductive technologies (ART) are increasingly used, however little is known about the long-term health of ART-conceived offspring. Weak selection of comparison groups and poorly characterized mechanisms impede current understanding. In a ...
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