Healthcare is a complex socio-technical system, not a purely technical environment. Clinical decisions are shaped not only by ...

As AI models grow more complex, a new white-collar gig workforce has emerged to review and guide systems. A new category of ...

Explore how AI is shaping cybersecurity in 2026, enhancing security operations, API governance, and compliance amidst ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

In 2026, boards won’t ask if you use AI — they’ll ask if you truly understand, control, and can explain how it’s steering the ...

Abstract: Explainable Artificial Intelligence (XAI) has emerged as a critical tool for interpreting the predictions of complex deep learning models. While XAI has been increasingly applied in various ...

ABSTRACT: Major Depressive Disorder (MDD) is a prevalent psychiatric condition requiring long-term pharmacological management, with escitalopram often prescribed as a first-line treatment. However, ...

Machine learning (ML) has emerged as a powerful tool to analyze gait data, yet the “black-box” nature of many ML models hinders their clinical application. Explainable artificial intelligence (XAI) ...

The angels have officially arrived. And while the pink carpet was a sight to behold, the runway itself is where the magic truly happens as the models strut their stuff in the most eye-catching of ...

You’ve heard the maxim, “Trust, but verify.” That’s a contradiction—if you need to verify something, you don’t truly trust it. And if you can verify it, you probably don’t need trust at all! While ...

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