With the rapid growth of interest in and use of large language models (LLMs) across various
industries, we are facing some crucial and profound ethical concerns, especially in the …

In recent years, machine learning has transitioned from a field of academic research interest
to a field capable of solving real-world business problems. However, the deployment of …

Theintroductionofartificialintelligence (AI) intomedical devices, decision support, and clinical
practice is not new, with a particular uptick in investment and …

This chapter will map the ethical and legal challenges posed by artificial intelligence (AI) in
healthcare and suggest directions for resolving them. Section 1 will briefly clarify what AI is …

Introduction Recent developments in the field of Artificial Intelligence (AI) applied to
healthcare promise to solve many of the existing global issues in advancing human health …

Background: Artificial intelligence (AI) is rapidly expanding in medicine despite a lack of
consensus on its application and evaluation. Objective: We sought to identify current …

Reimbursement is a key challenge for many new digital health solutions, whose importance
and value have been highlighted and expanded by the current COVID-19 pandemic …

Artificial Intelligence (AI) is moving towards the health space. It is generally acknowledged
that, while there is great promise in the implementation of AI technologies in healthcare, it …

Summary In February, 2020, the European Commission published a white paper on artificial
intelligence (AI) as well as an accompanying communication and report. The paper sets out …

Significant advances in artificial intelligence (AI), deep learning, and other machine-learning
approaches have been made in recent years, with applications found in almost every …