Artificial intelligence is a rapidly evolving computerized technology affecting multiple aspects
of our lives. It is predicted that artificial intelligence will lead to a fundamental change in …

There is tremendous interest in the radiology community to apply artificial intelligence (AI) to
improve radiology workflow and improve patient care [1]. The potential for AI in radiology is …

Artificial intelligence (AI) and deep learning have been met with great interest by both the
medical and nonmedical community [1, 2]. Within medicine, deep learning has …

Artificial intelligence (AI) has existed for decades and continues to evolve as technology
advances. In health care, AI can be used to simplify the check-in process for patients, make …

The multitude of artificial intelligence (AI)–based solutions, vendors, and platforms poses a
challenging proposition to an already complex clinical radiology practice. Apart from …

The aim of the paper is to find an answer to the question “Who or what is responsible for the
benefits and harms of using artificial intelligence in radiology?” When human beings make …

The development and integration of machine learning/artificial intelligence into routine
clinical practice will significantly alter the current practice of radiology. Changes in …

Artificial intelligence (AI) software in radiology is becoming increasingly prevalent and
performance is improving rapidly with new applications for given use cases being …

We report the results of a survey conducted among ESR members in November and
December 2018, asking for expectations about artificial intelligence (AI) in 5–10 years. Of …

Artificial intelligence (AI) has great potential to accelerate scientific discovery in medicine
and to transform healthcare. In radiology, AI is about to enter into clinical practice and has a …