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ChatGPT is an artificial intelligence (AI)-based conversational large language model (LLM). The potential applications of LLMs in health care education, research, and practice could be promising if the associated valid concerns are proactively examined ...
Malik Sallam
semanticscholar +1 more source
Fitting stochastic transmission models to electronic patient data can offer detailed insights into the transmission of healthcare-associated infections and improve infection control.
David W Eyre +5 more
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Revolutionizing healthcare: the role of artificial intelligence in clinical practice
Introduction Healthcare systems are complex and challenging for all stakeholders, but artificial intelligence (AI) has transformed various fields, including healthcare, with the potential to improve patient care and quality of life. Rapid AI advancements
Shuroug A. Alowais +12 more
semanticscholar +1 more source
Healthcare-associated infection and antimicrobial resistance are major concerns. However, the extent to which antibiotic exposure affects transmission and detection of infections such as MRSA is unclear.
Mirjam Laager +3 more
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2021 MASH/MJM Interprofessional Health Research Symposium
N ...
McGill Journal of Medicine +1 more
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BackgroundComplex transmission models of healthcare-associated infections provide insight for hospital epidemiology and infection control efforts, but they are difficult to implement and come at high computational costs.
Matthew S Mietchen +4 more
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Personalised healthcare and population healthcare [PDF]
Personalised or individualised healthcare and population healthcare are two sides of one coin. It follows that those responsible for developing population healthcare cannot ignore the individual.
Gray, J, Gray, J, Howick, J
openaire +3 more sources
MONAI: An open-source framework for deep learning in healthcare [PDF]
Artificial Intelligence (AI) is having a tremendous impact across most areas of science. Applications of AI in healthcare have the potential to improve our ability to detect, diagnose, prognose, and intervene on human disease.
M. Cardoso +55 more
semanticscholar +1 more source
Healthcare Analytics: Applications and Challenges
Present day decision making in healthcare has become a data-intensive process leading to the rise of healthcare analytics. These analytics involve the integration and analysis of data collected from multiple heterogenous sources including biomedical data
Wasim Alamgir, Aisha Mohyuddin
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India’s Union Budget 2023—Healthcare allocation leaves much to be desired
Healthcare is an imperative sector for India, considering the huge population in the country and the sub-par health facilities available to a majority of the country’s people.
Vini Mehta, Varsha Thomas, Ankita Mathur
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