The increasing access to health data worldwide is driving a resurgence in machine learning
research, including data-hungry deep learning algorithms. More computationally efficient …

Background Significant advancements in the field of information technology have influenced
the creation of trustworthy explainable artificial intelligence (XAI) in healthcare. Despite …

Purpose The expanded use of clinical tools that incorporate artificial intelligence (AI)
methods has generated calls for specific competencies for effective and ethical use. This …

To the Editor: Generative artificial intelligence (GAI) is making its way into our personal and
professional lives at an unprecedented pace. Its impact on medical education and …

Artificial intelligence-based algorithms are being widely implemented in health care, even as
evidence is emerging of bias in their design, problems with implementation, and potential …

Artificial intelligence (AI) promises to be the next revolutionary step in modern society. Yet,
its role in all fields of industry and science need to be determined. One very promising field …

Background The ability of a nurse to make effective clinical decisions is the most important
factor that can affect the treatment quality. However, several factors can affect the ability of …

Since uncertainty is a major challenge in medicine and bears the risk of causing incorrect
diagnoses and harmful treatment, there are many efforts to tackle it. For some time, AI …

The objective of this paper is to know about different AI implementation in healthcare and to
analyse its effect on the healthcare sector which can bring significant changes in the medical …

The growing presence of artificial intelligence (AI) in our lives is actively transforming our
understanding of human interaction and capability. Living and working with the aid of AI …