In recent years, deep learning (DL) has shown impressive performance in radiologic image
analysis. However, for a DL model to be useful in a real-world setting, its confidence in a …

In the evolving era of generative artificial intelligence (AI), bias in AI systems remains a
significant concern, leading to unfair outcomes across applications. Addressing this issue …

Clinical experts employ diverse philosophies and strategies in patient care, influenced by
regional patient populations. However, existing medical artificial intelligence (AI) models are …

The growing integration of artificial intelligence (AI) dialogue systems within educational and
research settings highlights the importance of learning aids. Despite examination of the …

El análisis de aspectos éticos en la investigación clínica siempre ha supuesto un reto que
ha requerido constantes actualizaciones. En resumen, la ética en la investigación es el …

Artificial intelligence (AI) is increasingly recognized for its transformative potential in
radiology; yet, its application in pediatric radiology is relatively limited when compared to the …

The analysis of ethical aspects in clinical research has always been a challenge and has
required constant updates. In short, research ethics is the set of specific principles, rules …

With the emergence of artificial intelligence (AI) as a possible solution to the current
workforce crises in the National Health Service, there has been an exponential increase in …

Artificial intelligence (AI) is increasingly used in many fields. It is widely perceived as an
intelligent system that does not just follow algorithms but can demonstrate independent …