Large language models (LLMs) have proven capable of assisting with many aspects of organizational decision making, such as helping to collect information from databases and helping to brainstorm ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical decision-making through the identification and treatment of disease is fully underway.

After observing several deployed AI decision support systems, Rotem Guttman noticed a common issue. “Humans make poor choices..." ...

Comparing two large language models (LLMs) – OpenAI's GPT-4 and Google's Gemini 1.5 – with its homegrown diagnostic decision support system, DXplain, MGB scientists found that the DDSS outperformed ...

In this study, we aimed to develop and validate a decision support system (DSS) to define the optimal timing of HSCT in patients with MDS on the basis of clinical and genomic information as provided ...

By embedding clinical guardrails into AI systems and validating recommendations against evidence-based guidelines, AI can ensure that its outcomes match real-world patient needs and safety standards.

Today, GuidelineX supports over 650,000 clinicians across more than 1,000 hospitals in the Asia-Pacific region. Its AI Agent Store provides modular tools to meet diverse clinical needs, while the ...

In medicine, the greatest challenges often emerge – not from what healthcare organizations fail to do, but from the variations in how they do it. At MultiCare Health System, a 13-hospital network ...

Clinical Decision Support as a Prevention Tool for Medication Errors in the Operating Room: A Retrospective Cross-Sectional Study. Anesthesia & Analgesia, 2024; DOI: 10.1213/ANE.0000000000007058 ...