activity
20192025
most citedMedCLIP: Contrastive Learning from Unpaired Medical Images and Text

31 citations · 61 across the 22 of their papers we have counts for

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12 papers · 1 filter

cs.CL2025

InformGen: An AI Copilot for Accurate and Compliant Clinical Research Consent Document Generation

Zifeng Wang, Junyi Gao, Benjamin Danek +5

Leveraging large language models (LLMs) to generate high-stakes documents, such as informed consent forms (ICFs), remains a significant challenge due to the extreme need for regula…

cs.CL2025

A foundation model for human-AI collaboration in medical literature mining

Zifeng Wang, Lang Cao, Qiao Jin +20

Systematic literature review is essential for evidence-based medicine, requiring comprehensive analysis of clinical trial publications. However, the application of artificial intel…

cs.CL2024

A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges

Zifeng Wang, Hanyin Wang, Benjamin Danek +6

The integration of Large Language Models (LLMs) into medical applications has sparked widespread interest across the healthcare industry, from drug discovery and development to cli…

cs.CL20241 cited

Panacea: A foundation model for clinical trial search, summarization, design, and recruitment

Jiacheng Lin, Hanwen Xu, Zifeng Wang +2

Clinical trials are fundamental in developing new drugs, medical devices, and treatments. However, they are often time-consuming and have low success rates. Although there have bee…

cs.CL20247 cited

Accelerating Clinical Evidence Synthesis with Large Language Models

Zifeng Wang, Lang Cao, Benjamin Danek +3

Synthesizing clinical evidence largely relies on systematic reviews of clinical trials and retrospective analyses from medical literature. However, the rapid expansion of publicati…

cs.CL2024

TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale

Pengcheng Jiang, Cao Xiao, Zifeng Wang +3

The advent of large language models (LLMs) has significantly advanced natural language processing tasks like text summarization. However, their large size and computational demands…