Critical care data reflect the most physiologically unstable patients in a hospital. These
patients are heavily monitored and may undergo complex treatment regimens to manage …

This article explores the potential ethical hazards of artificial intelligence (AI) on society from
an ethical perspective. We introduce the development and application of AI, emphasizing its …

The increased use of monitoring and diagnostic devices in the intensive care unit (ICU) has
led to greater production of complex streams of information. The growing use of a Division of …

Background Machine learning (ML) may improve clinical decision-making in critical care
settings, but intrinsic biases in datasets can introduce bias into predictive models. This study …

Trustworthy Artificial Intelligence (TAI) integrates ethics that align with human values, looking
at their influence on AI behaviour and decision-making. Primarily dependent on self …

Abstract The integration of Clinical Decision Support Systems (CDSS) based on artificial
intelligence (AI) in healthcare is groundbreaking evolution with enormous potential, but its …

Artificial intelligence (AI) has significantly transformed the medical field, especially in the
diagnosis, treatment, and management of oncological diseases. It has had a profound …

The proliferation of misinformation online has emerged as a major societal challenge, with
search engines and recommender systems playing a central role in how people access and …