AIMC Topic: Hong Kong
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Enhancing tree-based machine learning for chlorophyll-a prediction in coastal seawater through spatiotemporal feature integration.
Marine environmental research
Apr 24, 2025
The excessive growth of phytoplankton in water can deplete oxygen, release toxins, harm aquatic life, cause economic losses, and threaten coastal residents. Accurately predicting phytoplankton levels is crucial for safeguarding marine life and coasta...
Acceptability, applicability, and cost-utility of artificial-intelligence-powered low-cost portable fundus camera for diabetic retinopathy screening in primary health care settings.
Diabetes research and clinical practice
Apr 5, 2025
AIMS: To evaluate the acceptability, applicability, and cost-utility of AI-powered portable fundus cameras for diabetic retinopathy (DR) screening in Hong Kong, providing a viable alternative screening solution for resource-limited areas.
Influence pathways of noise exposure on people's negative emotions and health across different activity contexts: A neural network-based double machine learning approach.
Health & place
Mar 30, 2025
Noise is a major global environmental issue that raises concerns about both mental and physical health. However, few studies have investigated the mediating role of emotions in the pathways linking noise exposure to health outcomes. Additionally, man...
Explainable deep learning models for predicting water pipe failures.
Journal of environmental management
Mar 6, 2025
Failures within water distribution networks (WDNs) lead to significant environmental and economic impacts. While existing research has established various predictive models for pipe failures, there remains a lack of studies focusing on the probabilit...
Comparison of an AI Chatbot With a Nurse Hotline in Reducing Anxiety and Depression Levels in the General Population: Pilot Randomized Controlled Trial.
JMIR human factors
Mar 6, 2025
BACKGROUND: Artificial intelligence (AI) chatbots have been customized to deliver on-demand support for people with mental health problems. However, the effectiveness of AI chatbots in tackling mental health problems among the general public in Hong ...
AI versus human-generated multiple-choice questions for medical education: a cohort study in a high-stakes examination.
BMC medical education
Feb 8, 2025
BACKGROUND: The creation of high-quality multiple-choice questions (MCQs) is essential for medical education assessments but is resource-intensive and time-consuming when done by human experts. Large language models (LLMs) like ChatGPT-4o offer a pro...
Using ChatGPT for medical education: the technical perspective.
BMC medical education
Feb 7, 2025
BACKGROUND: The chatbot application Bennie and the Chats was introduced due to the outbreak of COVID-19, which is aimed to provide substitution for teaching conventional clinical history-taking skills. It was implemented with DialogFlow with preset r...
Promoting hand hygiene in a chemotherapy day center: the role of a robot.
Antimicrobial resistance and infection control
Dec 21, 2024
BACKGROUND: Hand hygiene is a critical component of infection prevention in healthcare settings. Innovative strategies are required to enhance hand hygiene practices among patients and healthcare workers (HCWs).
Artificial intelligence-based computer-aided diagnosis for breast cancer detection on digital mammography in Hong Kong.
Hong Kong medical journal = Xianggang yi xue za zhi
Dec 19, 2024
INTRODUCTION: Research concerning artificial intelligence in breast cancer detection has primarily focused on population screening. However, Hong Kong lacks a population-based screening programme. This study aimed to evaluate the potential of artific...
Multimodal multiphasic preoperative image-based deep-learning predicts HCC outcomes after curative surgery.
Hepatology (Baltimore, Md.)
Dec 2, 2024
BACKGROUND AND AIMS: HCC recurrence frequently occurs after curative surgery. Histological microvascular invasion (MVI) predicts recurrence but cannot provide preoperative prognostication, whereas clinical prediction scores have variable performances...
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