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Zhe He

5 papers hereh-index 495 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author2

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.AI1
  • cs.LG1
same name
  • Zhe He — 6 papers, h 20
  • Zhe He — 3 papers, h 15
  • Zhe He — 3 papers, h 5
  • Zhe He — 3 papers, h 3
  • Zhe He — 3 papers, h 5
  • Zhe He — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedQuality of Answers of Generative Large Language Models vs Peer Patients for Interpreting Lab Test Results for Lay Patients: Evaluation Study

56 citations · 56 across the 2 of their papers we have counts for

collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2024

Evaluating the Impact of Lab Test Results on Large Language Models Generated Differential Diagnoses from Clinical Case Vignettes

Balu Bhasuran, Qiao Jin, Yuzhang Xie +6

Differential diagnosis is crucial for medicine as it helps healthcare providers systematically distinguish between conditions that share similar symptoms. This study assesses the i…

cs.CL2024

AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning

Qiao Jin, Zhizheng Wang, Yifan Yang +8

Clinical calculators play a vital role in healthcare by offering accurate evidence-based predictions for various purposes such as prognosis. Nevertheless, their widespread utilizat…

cs.CL2024★ 56 cited

Quality of Answers of Generative Large Language Models vs Peer Patients for Interpreting Lab Test Results for Lay Patients: Evaluation Study

Zhe He, Balu Bhasuran, Qiao Jin +6

Lab results are often confusing and hard to understand. Large language models (LLMs) such as ChatGPT have opened a promising avenue for patients to get their questions answered. We…

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