AIMC Topic: Big Data

Clear Filters Showing 611 to 620 of 645 articles

Application of artificial intelligence in gastroenterology.

World journal of gastroenterology
Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough computer technology. By the era of big data, the accumulation of an enormous number of digital images and medical records drove the need for the utilization of AI to ...

Nurses "Seeing Forest for the Trees" in the Age of Machine Learning: Using Nursing Knowledge to Improve Relevance and Performance.

Computers, informatics, nursing : CIN
Although machine learning is increasingly being applied to support clinical decision making, there is a significant gap in understanding what it is and how nurses should adopt it in practice. The purpose of this case study is to show how one applicat...

How to compete with Google and Co.: big data and artificial intelligence in stones.

Current opinion in urology
PURPOSE OF REVIEW: To elucidate the keywords big data and artificial intelligence and corresponding literature in the field of urolithiasis.

Childhood Asthma: Advances Using Machine Learning and Mechanistic Studies.

American journal of respiratory and critical care medicine
A paradigm shift brought by the recognition that childhood asthma is an aggregated diagnosis that comprises several different endotypes underpinned by different pathophysiology, coupled with advances in understanding potentially important causal mech...

LNTP-MDBN: Big Data Integrated Learning Framework for Heterogeneous Image Set Classification.

Current medical imaging reviews
BACKGROUND: With the explosive growth of global data, the term Big Data describes the enormous size of dataset through the detailed analysis. The big data analytics revealed the hidden patterns and secret correlations among the values. The major chal...

Three Problems with Big Data and Artificial Intelligence in Medicine.

Perspectives in biology and medicine
The rise of big data and artificial intelligence (AI) in health care has engendered considerable excitement, claiming to improve approaches to diagnosis, prognosis, and treatment. Amidst the enthusiasm, the philosophical assumptions that underlie the...