Artificial Intelligence (AI) is rapidly entering the healthcare sector, promising unprecedented advances in diagnosis, treatment, and patient care. Yet for all its potential, the application of AI in healthcare stirs up concern amongst clinicians, clinical staff, and healthcare professionals. Understanding these fears is vital to ensuring AI’s benefits are realized without compromising patient safety, data security, or clinical standards.

This white paper explores the top 10 concerns of leveraging AI in healthcare and discusses the landscapes that influence how AI can best be used to improve healthcare while minimizing unintended consequences. By downloading the white paper, readers will be able to dive into research and analysis on common concerns such as AI:

• Accuracy

• Data security

• Legal liability

• Lacking human or clinical expertise

Download the white paper to explore the most common concerns in depth, including insights from industry experts, data scientists, and clinicians who are navigating AI challenges today.