activity
20242026
most citedEvaluating the Feasibility and Accuracy of Large Language Models for Medical History-Taking in Obstetrics and Gynecology

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

q-fin.ST2026

Beyond Polarity: Multi-Dimensional LLM Sentiment Signals for WTI Crude Oil Futures Return Prediction

Dehao Dai, Ding Ma, Dou Liu +2

Forecasting crude oil prices remains challenging because market-relevant information is embedded in large volumes of unstructured news and is not fully captured by traditional pola…

cs.LG2025

The Alignment Paradox of Medical Large Language Models in Infertility Care: Decoupling Algorithmic Improvement from Clinical Decision-making Quality

Dou Liu, Ying Long, Sophia Zuoqiu +8

Large language models (LLMs) are increasingly adopted in clinical decision support, yet aligning them with the multifaceted reasoning pathways of real-world medicine remains a majo…

cs.AI2025

Reliability of Large Language Model Generated Clinical Reasoning in Assisted Reproductive Technology: Blinded Comparative Evaluation Study

Dou Liu, Ying Long, Sophia Zuoqiu +6

Creating high-quality clinical Chains-of-Thought (CoTs) is crucial for explainable medical Artificial Intelligence (AI) while constrained by data scarcity. Although Large Language…

cs.CL2025★ 3 cited

Evaluating the Feasibility and Accuracy of Large Language Models for Medical History-Taking in Obstetrics and Gynecology

Dou Liu, Ying Long, Sophia Zuoqiu +2

Effective physician-patient communications in pre-diagnostic environments, and most specifically in complex and sensitive medical areas such as infertility, are critical but consum…

cs.CL2024★ 1 cited

Evaluating the Application of ChatGPT in Outpatient Triage Guidance: A Comparative Study

Dou Liu, Ying Han, Xiandi Wang +6

The integration of Artificial Intelligence (AI) in healthcare presents a transformative potential for enhancing operational efficiency and health outcomes. Large Language Models (L…