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 ...

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 ...

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.

Left to their own devices, model outputs are commonly documented as reflecting bias or offering plausible but incorrect information. Productive collaboration between AI and human decisionmakers will ...

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 ...

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 ...