Background: In recent years, machine learning (ML)–based models have been widely used in clinical domains to predict clinical risk events. However, in production, the performances of such models ...

Results: A total of 46,097 patients with sepsis from multiple cohorts were enrolled for analysis. Among 17,928 patients with sepsis in the derivation cohort, 8081 patients (45.1%) showed progression ...

Abstract: Sketch-based modeling studies reconstructing models from sketches automatically, allowing users visualize design concepts rapidly. Generating CAD models based on user sketches helps reduce ...

This startup has developed an AI copilot for mechanical engineers. At the heart of the innovation is a Large Mechanical Model (LMM), a patented AI system that understands real CAD data. Leo AI is a ...

Tech Soft 3D, the world leader in providing engineering software development toolkits (SDKs), officially launches HOOPS AI, the first framework purpose-built to unlock AI and machine learning for CAD ...

While machine learning can sharpen coronary artery disease (CAD) prediction using standard clinical data, it falls short in detecting plaques most likely to cause future cardiac events in patients ...

Two new AI models allow robots to perform complex, multistep tasks in a way that they couldn't previously. When you purchase through links on our site, we may earn an affiliate commission. Here’s how ...

Thinking Machines Lab Inc., the artificial intelligence startup led by former OpenAI executive Mira Murati, today introduced its first commercial offering. Tinker is a cloud-based service that ...

Background: Chronic Coronary Disease (CCD) is a leading global cause of morbidity and mortality. Existing Pre-test Probability (PTP) models mainly rely on in-hospital data and clinician judgment. This ...

Abstract: CAD models are widely used in industry and are essential for robotic automation processes. However, these models are rarely considered in novel AI-based approaches, such as the automatic ...