Broadly speaking, decision ... support systems that perform calculations is that the user/decision maker may not be fully aware of the limitations or assumptions of the particular processing model.

For example, a DSS may be used ... necessary to analyze vast amounts of data. A decision support system is an algorithmic tool that compiles and models a company's data, allowing operations ...

Artificial intelligence (AI) is now being integrated into many aspects of healthcare, helping physicians with diagnostics, treatment, and monitoring of patients. AI has the ability to analyze large ...

NeuralCure AI has announced a partnership with Life Imaging FLA in the US to expand its decision support system ... NeuralCure AI's system uses advanced imaging analysis, data models based on ...

Decision support systems can benefit a wide range of businesses across ... use models to help you make decisions about what might happen in the future. For example, a model driven DSS could help you ...

For example, social sites like LinkedIn provide ... Leveraging a gamut of diverse internal and external data sources, such decision support systems can ensure more effective decision making ...

We discuss how language models might change decision support systems. • We argue large language models are more versatile than prior decision support tools. • We propose that such versatility ...

In the future, validated decision-support systems will be fully integrated ... determine the characteristics of a multivariate model (for example, which features are selected and the overall ...

Early NLP systems relied on a rule-based approach, dictionary lookups, and statistical methods, which usually support basic decision ... One example of hybrid AI model applications in healthcare ...

The Theory and Promise of Clinical Decision Support Systems Clinical Decision Support (CDS) systems have been used in healthcare since the early 1980s. But have they lived up to their promise?