Visasiri Tantrakul

Abstract Electronic health records (EHRs) are a valuable resource for generating real-world evidence. However, their utilization can be challenging as these reports are largely unstructured texts stored in image formats or accumulated scans or images, thereby hindering efficient data feature extraction. With the development of computer vision and large language models (LLMs), there is a growing opportunity to explore their application in overcoming these challenges.

We conducted an RCT of high-risk pregnant women with mild/moderate OSA (RDI IQR 5–29.8 and AHI IQR 4–13) to assess the efficacy of CPAP in reducing BP and gestational hypertensive disorders. Our findings indicate that CPAP significantly reduced BP, with larger effects on DBP and MAP than SBP. Results were robust for all approaches including modified-intention-to-treat, per-protocol, and counterfactual approaches.