AIMC Topic: Big Data

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AI and Big Data: Current and Future Nursing Practitioners' Views on Future of Healthcare Education Provision.

Studies in health technology and informatics
Artificial Intelligence (AI) is defined as "the capacity of a computer, robot, programmed device, or software application to perform operations and tasks analogous to learning and decision making in humans, such as speech recognition or question answ...

The Diagnosis of Cardiovascular Disease Using Simple Blood Biomarkers Through AI and Big Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Cardiovascular disease (CVD) is the leading cause of global mortality, diagnosed primarily through costly imaging modalities which are often overused in asymptomatic patients. Our project aims to develop an AI-based solution for CVD risk stratificati...

[ARTIFICIAL INTELLIGENCE AND MEDICAL ETHICS].

Harefuah
Artificial intelligence has burst into our lives with great vigor in recent years. We encounter it in all areas of life, as well as in the field of medicine. The article refers to medical ethics in two areas: One field is medicine based on Mega Data ...

Environmental Sustainability and AI in Radiology: A Double-Edged Sword.

Radiology
According to the World Health Organization, climate change is the single biggest health threat facing humanity. The global health care system, including medical imaging, must manage the health effects of climate change while at the same time addressi...

Application of Genomic Data in Translational Medicine During the Big Data Era.

Frontiers in bioscience (Landmark edition)
Advances in gene sequencing technology and decreasing costs have resulted in a proliferation of genomic data as an integral component of big data. The availability of vast amounts of genomic data and more sophisticated genomic analysis techniques has...

Data-Driven Clinical Pharmacy Research: Utilizing Machine Learning and Medical Big Data.

Biological & pharmaceutical bulletin
To conduct clinical pharmacy research, we often face the limitations of conventional statistical methods and single-center observational study. To overcome these issues, we have conducted data-driven research using machine learning methods and medica...