AI Medical Compendium Topic

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Toward the Internet of Medical Things: Architecture, trends and challenges.

Mathematical biosciences and engineering : MBE
In recent years, the growing pervasiveness of wearable technology has created new opportunities for medical and emergency rescue operations to protect users' health and safety, such as cost-effective medical solutions, more convenient healthcare and ...

Global output on artificial intelligence in the field of nursing: A bibliometric analysis and science mapping.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing
PURPOSE: To analyze the AI research in the field of nursing, to explore the current situation, hot topics, and prospects of AI research in the field of nursing, and to provide a reference for researchers to carry out related studies.

Epistemic Rights and Responsibilities of Digital Simulacra for Biomedicine.

The American journal of bioethics : AJOB
Big data and AI have enabled digital simulation for prediction of future health states or behaviors of specific individuals, populations or humans in general. "Digital simulacra" use multimodal datasets to develop computational models that are virtua...

Disease-specific data processing: An intelligent digital platform for diabetes based on model prediction and data analysis utilizing big data technology.

Frontiers in public health
BACKGROUND: Artificial intelligence technology has become a mainstream trend in the development of medical informatization. Because of the complex structure and a large amount of medical data generated in the current medical informatization process, ...

A Literature Review on Ethics for AI in Biomedical Research and Biobanking.

Yearbook of medical informatics
BACKGROUND: Artificial Intelligence (AI) is becoming more and more important especially in datacentric fields, such as biomedical research and biobanking. However, AI does not only offer advantages and promising benefits, but brings about also ethica...

Refinery 4.0, a Review of the Main Challenges of the Industry 4.0 Paradigm in Oil & Gas Downstream.

Sensors (Basel, Switzerland)
Industry 4.0 concept has become a worldwide revolution that has been mainly led by the manufacturing sector. Continuous Process Industry is part of this global trend where there are aspects of the "fourth industrial revolution" that must be adapted t...

Multiagent-Based Data Presentation Mechanism for Multifaceted Analysis in Network Management Tasks.

Sensors (Basel, Switzerland)
Although network management tasks are highly automated using big data and artificial intelligence technologies, when an unforeseen cybersecurity problem or fault scenario occurs, administrators sometimes directly analyze system data to make a heurist...

Artificial intelligence-based approaches for traditional fermented alcoholic beverages' development: review and prospect.

Critical reviews in food science and nutrition
Traditional fermented alcoholic beverages (TFABs) have gained widespread acceptance and enjoyed great popularity for centuries. COVID-19 pandemics lead to the surge in health demand for diet, thus TFABs once again attract increased focus for the heal...

Prototype early diagnostic model for invasive pulmonary aspergillosis based on deep learning and big data training.

Mycoses
BACKGROUND: Currently, the diagnosis of invasive pulmonary aspergillosis (IPA) mainly depends on the integration of clinical, radiological and microbiological data. Artificial intelligence (AI) has shown great advantages in dealing with data-rich bio...

What Is a Digital Twin? Experimental Design for a Data-Centric Machine Learning Perspective in Health.

International journal of molecular sciences
The idea of a digital twin has recently gained widespread attention. While, so far, it has been used predominantly for problems in engineering and manufacturing, it is believed that a digital twin also holds great promise for applications in medicine...