In the ever-evolving landscape of artificial intelligence, the release of new models often sparks intense interest and discussion among tech ...

Sepsis is one of the deadliest conditions in intensive care units (ICUs), triggered by the body's out-of-control response to ...

In a recent development, researchers have created an AI-driven model capable of predicting mortality risk in sepsis patients ...

From growth charts to anemia thresholds, clinical standards assume a single human prototype. Why are we still using ...

A proposed ACA reform would shift the benchmark plan from silver to gold coverage and expand cost-sharing subsidies, reducing ...

The team is developing an AI model that can fact-check itself. To achieve this, they created a Causal Knowledge Graph (CKG) — ...

When it comes to real-world evaluation, appropriate benchmarks need to be carefully selected to match the context of AI ...

Currently, several recent works have utilized the segmenting anything model (SAM) to boost the segmentation performance in medical images ... The experimental results on three popularlyused benchmark ...

AI medical benchmark tests fall short because they don’t test efficiency on real tasks such as writing medical notes, experts say.

By weaving in a technique called tensor factorization, LoRID pinpoints these low-rank aspects, bolstering the model's defense in large adversarial attack regimes. The team tested LoRID using widely ...

Launched in May last year, Yuanbao gained popularity after Tencent’s move to integrate DeepSeek’s R1 reasoning model in February ... beating its benchmark by 218 percentage points (see ...