An analysis of 109 FDA-supported oncology trials found that Akaike and Bayesian Information Criteria showed near-zero ...

A new Bayesian framework called PIML combines machine learning analysis of electrical impedance signals with clinical prior ...

A/B testing helps teams reduce product risk, improve user experience, measure results, and make reliable data-driven ...

U.S. researchers have found a new method that aids faster and more accurate radioactive ...

Before reading this article, please answer one question.When you ride in an autonomous taxi, how many 'accident-free records' ...

We will take a deep dive into reliable AI-related papers published on arXiv around the last day (around October 21, 2026), ...

Mr. V felt tightness across his chest. His deepest breaths felt shallow. He sought help at an emergency department, where a ...

Bayesian inference is fundamental to interpreting diagnostic evidence, yet individuals often fail to integrate base rates and test characteristics when evaluating test results. Key questions are ...

Despite the widespread use of clinical shoulder tests such as the Jobe or Neer test, diagnostic reasoning often remains binary and insufficiently quantitative. Moreover, reported diagnostic accuracy ...

The world keeps changing, so should the model. Test-Time Adaptation (TTA) lets a trained model adapt to that shift at inference, learning on the fly from the unlabeled test data alone. Higher-Order ...

Abstract: The indirect test offers a cost-effective alternative for the specification test of analog integrated circuits (ICs). It infers high-cost specifications from low-cost measurements through a ...

I was diagnosed with benign paroxysmal positional vertigo (BPPV). The diagnosis was not surprising. I had experienced several brief but intense episodes of vertigo, sudden, disorienting sensations ...