LABGenie Project: Publications & Presentations

 

Under Development 

  1. Mia Lustria, Lovinta Atrinawati, Obianuju Aliche, Zhe He. Systematic Review of Lab Test Results Reporting and Comprehension. Target venue: Journal of Healthcare Informatics Research

  2. Balu Bhasuran, Qiao Jin, Karim Hanna, Cindy Shavor, Jennifer Costa, Carl Yang, Zhiyong Lu, Zhe He. Evaluating the Impact of Lab Test Results on Large Language Models Generated Differential Diagnoses from Clinical Case Vignettes. Target venue: npj Digital Medicine

  3. Balu Bhasuran, Qiao Jin, Mengxian Lyu, Yonghui Wu, Zhiyong Lu, Zhe He. LabQAR: A Curated Dataset for Question Answering on Lab Test Reference Ranges and Interpretation. Target venue: Scientific Data 

  4. Zhe He, Balu Bhsuran, Hansita Penikalapati, Wade Rogers, Karim Hanna, Cindy Shavor, Lisbeth Garcia Arguello, Xiao Luo, Mia Lustria. An AI-Driven Approach to Generate Tailored Questions Prompts about Lab Test Results for Patients for Physician Consultations. Target venue: JAMIA

     

Submitted / Under Review 

  1. Mahshad Koohi Habibi Dehkordi, Yehoshua Perl, Fadi Deek, Zhe He, Vipina Keloth, Hao Liu, Gai Elhanan, Andrew J. Einstein. Improving Large Language Models Summarization by Highlighting Clinical Notes. Submitted to the Journal of Medical Internet Research.

  2. Xiaoyu Wang, Haoyong Ouyang, Balu Bhasuran, Xiao Luo, Karim Hanna, Mia Liza A. Lustria, Zhe He. Lab-AI - Retrieval-Augmented Language Model for Personalized Lab Test Interpretation in Clinical Medicine. Submitted to AMIA 2025 Informatics Summit.

  3. Mia Liza A. Lustria, Obianuju Aliche, and Zhe He. Enhancing Patient Engagement and Understanding: Is Providing Direct Access to Laboratory Results through Patient Portals Adequate? Submitted to the JAMIA Open.

  4. Xiaoyu Wang, Ouyang Haoyong, Balu Bhasuran, Zhe He. Lab-AI - Retrieval Augmented Language Model for Personalized Laboratory Test Interpretation in Clinical Medicine. Submitted to AMIA 2025 Informatics Summit.

     

Published / In Press 

  1. Weisi Liu, Zhe He, Xiaolei Huang, Time Matters: Examine Temporal Effects on Biomedical Language Models. AMIA 2024 Annual Symposium. In press.

  2. Wenshan Han, Zheng Wang,  Mengli Xiao, Zhe He, Haitao Chu, Lifeng Lin. Tipping point analyses for the between-arm correlation in an arm-based evidence synthesis. BMC Medical Research Methodology. 2024. In press.

  3. Wenshan Han, Balu Bhasuran, Victorine Muse, Søren Brunak, Lifeng Lin, Karim Hanna, Yu Huang, Jiang Bian, Zhe He.  Assessing the Seasonality of Lab Tests Among Patients with Alzheimer's Disease and Related Dementias in OneFlorida Data Trust.  AMIA 2024 Annual Symposium. [preprint on medRxiv]

  4. Zhe He, Balu Bhasuran, Qiao Jin, Shubo Tian, Karim Hanna, Cindy Shavor, Lisbeth Garcia Arguello, Patrick Murray, Zhiyong Lu. Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study. Journal of Medical Internet Research. 2024;26:e56655. doi: 10.2196/56655. PMID: 38630520 [Link] 

  5. Zhe He, Shubo Tian, Arslan Erdengsileng, Karim Hanna, Yang Gong, Xiao Luo, Zhan Zhang, Mia Liza A. Lustria. Annotation and Information Extraction of a Consumer-Friendly Health Website for Enhancing Laboratory Test Reporting in Patient Portals. AMIA 2023 Annual Symposium. 2024 Jan 11;2023:407-416. PMID: 38222337; PMCID: PMC10785897. [PubMed Central]

  6. Yu Lu, Laura A. Barrett, Rebecca Lin, Muhammad Amith, Cui Tao, and Zhe He. Understanding Information Needs and Barriers to Accessing Health Information Across All Stages of Pregnancy: A Systematic Review. JMIR Pediatrics and Parenting. 2022;5(1):e32235. doi: 10.2196/32235.  PMID: 35188477 [JMIR]

  7. Zhan Zhang, Lukas Kmoth, Xiao Luo, and Zhe He. User-Centered System Design for Communicating Clinical Laboratory Test Results: Design and Evaluation Study.  JMIR Human Factors. 2021; 8(4): e26017. (Acceptance rate: 25%) [JMIR]

  8. Zhan Zhang, Daniel Citardi, Aiwen Xing, Xiao Luo, Yu Lu, and Zhe He. Patient Challenges and Needs in Comprehending Lab Test Results: A Mixed-Methods Study. Journal of Medical Internet Research. 2020; 22(12). e18725. [Link]

  9. Yu Lu, Xiao Luo, Zhan Zhang, and Zhe He. Retrieving Lab Test Related Questions from Social QA Sites By Combining Shallow Features and Deep Representations. AMIA 2020 Annual Symposium.  November 14-18, 2020. Virtual. pp. 717-726. PMID: 33936453. PMCID: PMC8075538. [medRxiv] [PMC]

  10. *Biyang Yu†, Zhe He†, Aiwen Xing, and Mia Liza Lustria.  An Informatics Framework to Assess Consumer Health Language Complexity Differences: Proof-of-Concept Study. Journal of Medical Internet Research. 2020;22(5):e16795. [Link]

  11. Zhan Zhang, Caleb Wilson, and Zhe He. Contextualizing Consumer Health Information Seeking. AMIA 2019 Annual Symposium. In press. (Poster)

  12. Zhan Zhang, Yu Lu, Yubo Kou, Danny Wu, Jina Huh-Yoo, and Zhe He. Understanding Patient Information Needs about their Clinical Laboratory Results: A Study of Social Q&A Site. MEDINFO 2019. August 26-30, 2019. Lyon, France. Studies in Health Technology and Informatics. In press. 

  13. Jiang Bian, Yi Guo, Zhe He, and Xia Hu. Social Web and Health Research - Benefits, Limitations and Best Practice. Springer International Publishing AG. 2019. Print ISBN: 978-3-030-14713-6. Online ISBN: 978-3-030-14714-3. DOI: https://doi.org/10.1007/978-3-030-14714-3 [Link]

  14. Zhe He. Understanding and Bridging the Language and Terminology Gap between Health Professionals and Consumers Using Social Media. Social Web and Health Research: Benefits, Limitations, and Best Practices. In: Bian J., Guo Y., He Z., Hu X. (eds) Social Web and Health Research. Springer, Cham. 2019. pp. 103-121. DOI: 10.1007/978-3-030-14714-3_6. [Link]

  15. Zhe He*, Zhiwei Chen, Sanghee Oh, Jinghui Hou, and Jiang Bian. Enriching consumer health vocabulary through mining a social Q&A site: a similarity-based approach. Journal of Biomedical Informatics. 2017;69:75-85. PMID: 28359728  [PubMed] [ScienceDirect] 

  16. Min Sook Park, Zhe He*, Zhiwei Chen, Sanghee Oh, and Jiang Bian. Consumer's Use of UMLS Concepts on Social Media: Diabetes-Related Textual Data Analysis in Blog and Social Q&A Sites. JMIR Medical Informatics. 2016; 4(4):e41. PMID: 27884812 (Park MS and He Z are equal-contribution first authors) [JMIR]

  17. Zhe He, Min Sook Park, and Zhiwei Chen.  UMLS-Based Analysis of Medical Terminology Coverage for Tags in Diabetes-Related Blogs. Proceedings of iConference 2016.  March 20-23, 2016. Philadelphia, PA. (Preliminary results paper. Acceptance rate: 30%)  (Runner up of the Most Interesting Preliminary Results Paper Award) [Link]

     

Presentations 

  1. Bhasuran B, Jin Q, Tian S, Hanna K, Lu Z,  He Z. Evaluating the Impact of Lab Test Results on Large Language Models Generated Differential Diagnoses from Clinical Case Vignettes. AMIA 2024 Annual Symposium, November 9-13, 2024. San Francisco, CA.

  2. He Z, Bhasuran B, Jin Q, Tian S, Hanna K, Lu Z. Using Informatics and Generative AI to Support Older Adults’ Understanding of Lab Test Results. Presented at “East Meets West: Application of AI to Support Healthy Aging and Effective Care in Diverse Cultures” symposium of the Gerontological Society of America (GSA) 2024 Annual Scientific Meeting. November 13-16, 2024. Seattle, WA.