Cure models represent an important extension of conventional survival analysis, allowing researchers to distinguish between individuals who remain susceptible to an event and those who are effectively ...

AI labs like OpenAI claim that their so-called “reasoning” AI models, which can “think” through problems step by step, are more capable than their non-reasoning counterparts in specific domains, such ...

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...

The arms race to build smarter AI models has a measurement problem: the tests used to rank them are becoming obsolete almost as quickly as the models improve. On Monday, Artificial Analysis, an ...

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...

Real-World and Clinical Trial Validation of a Deep Learning Radiomic Biomarker for PD-(L)1 Immune Checkpoint Inhibitor Response in Advanced Non–Small Cell Lung Cancer The authors present a score that ...

Please provide your email address to receive an email when new articles are posted on . There is great potential in using AI-trained data models to detect and specify neurologic conditions. Adding ...

Self-driving vehicles rely closely on interactions with humans, vehicles, and the surrounding environment. However, the interactive analysis of self-driving is impacted by multiple perception sources, ...

I’ve been working with Microsoft BI tools for 28 years now and for all that time Microsoft has been consistent in its belief ...