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Chia-Chun Chiang

3 accepted papers

2026

Can Large Language Models Match the Conclusions of Systematic Reviews?

ICLR 2026poster

Systematic reviews (SR), in which experts summarize and analyze evidence across individual studies to provide insights on a specialized topic, are a cornerstone for evidence-based clinical decision-making, research, and policy. Given the exponential growth of scientific articles, there is growing in…

Cited by 0SourcecodeScholar
2024

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records

AAAI 2024technical

The ability of large language models (LLMs) to follow natural language instructions with human-level fluency suggests many opportunities in healthcare to reduce administrative burden and improve quality of care. However, evaluating LLMs on realistic text generation tasks for healthcare remains chall…

Cited by 67SourcePDFScholar
2023

INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis

NeurIPS 2023poster

Synthesizing information from various data sources plays a crucial role in the practice of modern medicine. Current applications of artificial intelligence in medicine often focus on single-modality data due to a lack of publicly available, multimodal medical datasets. To address this limitation, we…

Cited by 11SourcePDFScholar