Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.

To address AI bias at its roots, we must understand the human heuristics that shape it. Unlike prior frameworks that focus ...

Ultra-faint dwarf galaxies—tiny satellite galaxies orbiting the Milky Way—have long been seen as cosmic fossils. Now, a new ...

A sign on the front of S2 Properties near 29th Street and Lincoln Avenue reads, "Yes, we're open," days after federal ...

AI systems don’t just process information; they systematically ‘judge’ people in ways that resemble human trust, but with ...

Managing significant wealth across investments, taxes, estate planning, insurance and philanthropy can become complex to ...

Foundation models are commoditizing. The real competitive advantage in enterprise AI has quietly moved to the operating layer ...

A systematic review of 29,941 patients shows that preoperative MRI findings significantly improve risk stratification for men with prostate cancer undergoing radical prostatectomy.

The next important milestone for AI research is to automate model development. Every advance in reasoning, language, and perception is, in some sense, a step toward that goal. However, the path to ...

Hackers and evildoers are using adversarial poetry to jailbreak AI. The trick involves writing poems as prompts. AI ...

Heart failure presents a growing public health problem both in Estonia and across Europe. At the same time, its timely ...

VentureBeat research finds 72% of enterprises are running multiple "primary" AI platforms with no clear owner — creating ...