Background: Clinical artificial intelligence (AI) has reached a critical inflection point.
Advances in algorithmic science and increased understanding of operational considerations …

Among the myriad of technical approaches and abstract guidelines proposed to the topic of
AI bias, there has been an urgent call to translate the principle of fairness into the …

Accurate estimation of minimum miscibility pressure (MMP) is crucial for assessing the
efficiency of most miscible and immiscible processes, specifically CO 2-based enhanced oil …

Objectives Artificial intelligence (AI) systems have the potential to revolutionize clinical
practices, including improving diagnostic accuracy and surgical decision-making, while also …

Despite the revolutionary impact of immune checkpoint blockade (ICB) in cancer treatment,
accurately predicting patient responses remains challenging. Here, we analyzed a large …

Chronic kidney disease (CKD) is a major worldwide health problem, affecting a large
proportion of the world's population and leading to higher morbidity and death rates. The …

Simple Summary Device-assisted enteroscopy is the only diagnostic and therapeutic exam
capable of exploring the entire gastrointestinal tract. However, the diagnostic yield of this …

Cancer risk algorithms are developed in ever-increasing numbers to support clinical
decisions. However, their uptake in UK primary care remains low and there is little evidence …

This paper develops an account of how the implementation of ML models into healthcare
settings requires revising the methodological apparatus of philosophical bioethics. On this …

Globally, stroke is the third-leading cause of mortality and disability combined, and one of
the costliest diseases in society. More accurate predictions of stroke outcomes can guide …