Medicine and artificial intelligence (AI) engineering represent two distinct fields each with
decades of published history. With such history comes a set of terminology that has a …

The increased utilization of disruptive health and biomedical informatics technologies, such
as artificial intelligence (AI), has accelerated medical operations from patient-centered …

The practice of incomplete study reporting is rife within scientific literature. It hinders the
adoption of technologies, introduces considerable “research waste,” and represents a …

With the development of artificial intelligence (AI) capabilities over the past years, many
industries have integrated AI-based tools into their workflow to improve productivity …

Objective: To summarize significant research contributions to the field of artificial intelligence
(AI) in health in 2018. Methods: Ovid MEDLINE® and Web of Science® databases were …

Background Artificial intelligence (AI) has significantly impacted numerous medical
specialties with high emphasis on radiology. Associated novel diagnostic methods have …

Common Misconceptions and Future Directions for AI in Medicine: A Physician-Data Scientist
Perspective | SpringerLink Skip to main content Advertisement SpringerLink Account Menu Find …

Artificial intelligence (AI) has revolutionized many fields, and its potential in healthcare has
been increasingly recognized. Based on diverse data sources such as imaging, laboratory …

Medicine and deep learning-based artificial intelligence (AI) engineering represent two
distinct fields each with decades of published history. The current rapid convergence of …

Introduction The use of artificial intelligence (AI), particularly machine learning and
predictive analytics, has shown great promise in health care. Despite its strong potential …