Background Artificial intelligence (AI) research in healthcare is accelerating rapidly, with
potential applications being demonstrated across various domains of medicine. However …

Background: Artificial intelligence (AI) applications that utilize machine learning are on the
rise in clinical research and provide highly promising applications in specific use cases …

Increased scrutiny of artificial intelligence (AI) applications in healthcare highlights the need
for real-world evaluations for effectiveness and unintended consequences. The complexity …

Abstract Background Clinical Trials (CTs) remain the foundation of safe and effective drug
development. Given the evolving data-driven and personalized medicine approach in …

Introduction Healthcare systems are complex and challenging for all stakeholders, but
artificial intelligence (AI) has transformed various fields, including healthcare, with the …

Objective Although the role of artificial intelligence (AI) in medicine is increasingly studied,
most patients do not benefit because the majority of AI models remain in the testing and …

Artificial intelligence (AI) will impact many aspects of clinical pharmacology, including drug
discovery and development, clinical trials, personalized medicine, pharmacogenomics …

In recent years, there has been massive progress in artificial intelligence (AI) with the
development of deep neural networks, natural language processing, computer vision and …

Interest in the application of artificial intelligence (AI) to human health continues to grow, but
widespread translation of academic research into deployable AI devices has proven more …

Abstract Machine learning (ML) has the potential to transform patient care and outcomes.
However, there are important differences between measuring the performance of ML models …