LabCompass

Ruoqi Liu

Computer Science · The Ohio State University

OpenAlex ORCID
Early career · publishing since 2018Rising activity
Machine Learning in HealthcareAdvanced Causal Inference TechniquesComputational Drug Discovery MethodsHealth Systems, Economic Evaluations, Quality of LifeStatistical Methods in Clinical Trials

Publications

56

Citations

834

Est. group size

~3

Recurring co-author estimate

Active years

9

Publishing since 2018

Research summary
AI-generated

Ruoqi Liu works at the intersection of machine learning and healthcare, focusing on methods to estimate the effects of drug treatments from large patient datasets, including for conditions like hypertension and opioid use disorder. Recent work also explores how large language models can interpret medical images (such as ECGs) and assist with clinical decision-making and electronic health record tasks. This research is relevant to students interested in applying AI and causal inference techniques to real-world medical data problems.

Machine learning for healthcareCausal inference and treatment effect estimationClinical decision support with large language modelsElectronic health records and clinical trial dataPersonalized medicine

Publication output has grown steadily over the past decade, rising from near zero in 2017-2019 to a sustained 6-10 papers per year since 2023.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 7.4/year recently
172018: 2 publications182019: 1 publication192020: 7 publications202021: 8 publications212022: 5 publications222023: 8 publications232024: 10 publications10242025: 8 publications252026: 6 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×12
  • medRxiv×7
  • Nature Machine Intelligence×2
  • BMC Medical Informatics and Decision Making×2
  • Figshare×2
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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