Lihua Wang

Convolutional neural network for red blood cell transfusion prediction: A machine learning based study

Abstract Background Subjective, inconsistent clinician judgement on red blood cell (RBC) transfusion demand causes unnecessary blood wastage, increased perioperative safety risks, and poorly balanced hospital blood inventory. To tackle these persistent clinical limitations, we de...

RadCoT: a Radiological Chain-of-Thought framework for enhanced error detection in radiology reports

Abstract Background Errors in radiology reports are a major patient-safety concern and are difficult to detect with manual quality assurance (QA). Large language models (LLMs) can assist, but generic prompting does not reflect radiologists’ structured, section-based workflows. Ob...