Artificial intelligence(AI) will increasingly become an integral part of our personal and
professional lives. For perspective, AI is estimated to contribute $13 trillion to the world …

Abstract With promising Artificial Intelligence (AI) algorithms receiving FDA (Food and Drug
Administration) clearance, the potential impact of these models on clinical outcomes must be …

At the beginning of the artificial intelligence (AI)/machine learning (ML) era, the expectations
are high, and experts foresee that AI/ML shows potential for diagnosing, managing and …

Artificial intelligence (AI) tools can help diagnosticians accomplish their tasks more efficiently
while potentially decreasing the chance of error. In particular, computer-aided diagnosis …

Artificial intelligence (AI) methods have been applied to medical imaging for several
decades, but in the last few years, the number of publications and the number of AI-enabled …

The use of artificial intelligence (AI) has grown dramatically in the past few years in the
United States and worldwide, with more than 300 AI-enabled devices approved by the US …

Advances in machine learning in medical imaging are occurring at a rapid pace in research
laboratories both at academic institutions and in industry. Important artificial intelligence (AI) …

Background The hype around artificial intelligence (AI) in radiology continues and the
number of approved AI tools is growing steadily. Despite the great potential, integration into …

We were pleased to read the December 2020 editorial in this journal [1],“Research, reuse,
repeat.” The editorial extolls the benefits of making tools (methods, data, and code) available …

Healthcare AI has experienced rapid growth since 2012 with the emergence of deep
learning and convolutional neural networks, a trend that has been observed across medical …