Since its inception, artificial intelligence (AI) has been developed to mimic the adaptation and self-organization of living organisms or biological ...

Transparency and explainability are only way organizations can trust autonomous AI.

In their Research review article, “Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical ...

A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the University of Michigan, opens up AI for situations where understanding why a ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Significant advancements in understanding the molecular and cellular mechanisms of tumor progression have been made, yet challenges remain. Traditional imaging techniques like MRI, CT, and mammography ...

Mental health conditions are often underrecognized and overlooked in healthcare, especially in primary healthcare and in patients with primary somatic conditions where mental health disorders are ...

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...