Deployment of artificial intelligence for point-of-care clinical decision support is in its nascency. Despite the media attention and proliferation of AI studies, translation to clinical practice is ...

An AI-assisted clinical decision-support system is associated with reduced incidence of vascular events in patients with ...

Kunal is a thought leader in Digital Journal’s Insight Forum (become a member). The intersection of Artificial Intelligence (AI) and analytics-based decision support systems has the potential to ...

Researchers compared their long-standing diagnostic decision support systems AI tool, DXplain, with modern large language models like ChatGPT and Gemini, finding DXplain performed slightly better.

Multi-AI agents – multiple artificial intelligence agents working together in a shared environment – can be used to address persistent workflow challenges in clinical decision support, drawing from ...

Note: Roche is building a new suite of clinical decision support solutions on the Innovaccer Health Cloud. You can read the announcement, “Innovaccer Announces Collaboration with Roche to Develop ...

Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. A few years ago, artificial intelligence (AI) promised to ...

Prescribing is a complex process with multiple factors to consider on top of the 3 primary questions about effectiveness, harm, and cost. Pharmacogenetics has put this complexity under the spotlight ...

Although hospitals and health systems do not closely track medical errors and misdiagnoses, these issues have begun to receive serious scrutiny. Evidence points to the need for immediate improvement ...