2 citations · 2 across the 3 of their papers we have counts for
3 papers
Protecting patient privacy in clinical foundation models: Technical and legal perspectives
Sana Tonekaboni, Lena Stempfle, Sasha Ronaghi +4
Clinical foundation models trained on large-scale patient data are increasingly used for decision support, screening, and public health. As deployment expands, privacy risk increas…
Large Language Models for Large-Scale, Rigorous Qualitative Analysis in Applied Health Services Research
Sasha Ronaghi, Emma-Louise Aveling, Maria Levis +3
Large language models (LLMs) show promise for improving the efficiency of qualitative analysis in large, multi-site health-services research. Yet methodological guidance for LLM in…
Structured Insight from Unstructured Data: Large Language Models for SDOH-Driven Diabetes Risk Prediction
Sasha Ronaghi, Prerit Choudhary, David H Rehkopf +1
Social determinants of health (SDOH) play a critical role in Type 2 Diabetes (T2D) management but are often absent from electronic health records and risk prediction models. Most i…