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Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications.
J Med Internet Res
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School of Computer Science, University of Technology Sydney, Sydney, Australia.
The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digital channels. This paper explores the utility and implications of generalist conversational artificial intelligence (CAI) advanced AI systems trained on extensive datasets to handle a wide range of conversational tasks across various domains with human-like responsiveness. The specific focus is on the application of generalist CAI within messaging services, emphasizing its potential to enhance public health communication.
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JMIR Med Inform
January 2025
School of Software, Taiyuan University of Technology, Jingzhong, China.
Background: The prompt and accurate identification of mild cognitive impairment (MCI) is crucial for preventing its progression into more severe neurodegenerative diseases. However, current diagnostic solutions, such as biomarkers and cognitive screening tests, prove costly, time-consuming, and invasive, hindering patient compliance and the accessibility of these tests. Therefore, exploring a more cost-effective, efficient, and noninvasive method to aid clinicians in detecting MCI is necessary.
View Article and Find Full Text PDFDigital Health Intervention (SANGYAN Podcast) to Enhance Knowledge Related to COVID-19 and Other Health Conditions: Protocol for an Implementation and Evaluation Study.
JMIR Res Protoc
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Foundation of Healthcare Technologies Society, New Delhi, India.
Background: Podcasts are an unconventional method of disseminating information through audio to the masses. They are an emerging portable technology and a valuable resource that provides unlimited access for promoting health among participants. Podcasts related to health care have been used as a source of medical education, but there is a dearth of studies on the use of podcasts as a source of health information.
View Article and Find Full Text PDFHealth Care Professionals and Data Scientists' Perspectives on a Machine Learning System to Anticipate and Manage the Risk of Decompensation From Patients With Heart Failure: Qualitative Interview Study.
J Med Internet Res
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NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, NOVA University Lisbon, Lisbon, Portugal.
Background: Heart failure (HF) is a significant global health problem, affecting approximately 64.34 million people worldwide. The worsening of HF, also known as HF decompensation, is a major factor behind hospitalizations, contributing to substantial health care costs related to this condition.
View Article and Find Full Text PDFHighly salt-resistant and efficient dynamic Janus absorber based on thermo-responsive hydroxypropyl cellulose.
Mater Horiz
January 2025
School of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin 300350, China.
Recent advances in interfacial solar steam generation have made direct solar desalination a promising approach for providing cost-effective and environmentally friendly clean water solutions. However, developing highly effective, salt-resistant solar absorbers for long-term desalination at high efficiencies and evaporation rates remains a significant challenge. We present a Janus hydrogel-based absorber featuring a surface modified with thermo-responsive hydroxypropyl cellulose (HPC) and a hydrogel matrix containing photothermal conversion units, MXene, specifically designed for long-term seawater desalination.
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