The rise of digital data and computing power have contributed to significant advancements
in artificial intelligence (AI), leading to the use of classification and prediction models in …

There is increasing awareness that the methodology and findings of research should be
transparent. This includes studies using artificial intelligence to develop predictive …

Advancements in computing and data from the near universal acceptance and
implementation of electronic health records has been formative for the growth of …

Introduction: Artificial intelligence (AI) technologies continue to attract interest from a broad
range of disciplines in recent years, including health. The increase in computer hardware …

Artificial intelligence (AI) has an astonishing potential in assisting clinical decision making
and revolutionizing the field of health care. A major open challenge that AI will need to …

Importance Given the importance of rigorous development and evaluation standards
needed of artificial intelligence (AI) models used in health care, nationwide accepted …

Abstract Machine learning (ML) and its parent technology trend, artificial intelligence (AI),
are deriving novel insights from ever larger and more complex datasets. Efficient and …

Predictive analytics in health care has generated increasing enthusiasm recently, as
reflected in a rapidly growing body of predictive models reported in literature and in real-time …

AI is a broad concept, grouping initiatives that use a computer to perform tasks that would
usually require a human to complete. AI methods are well suited to predict clinical outcomes …

Artificial intelligence (AI)-driven decision support systems have revolutionized the field of
precision medicine by providing clinicians with tools to personalize patient care. These …