Lingrui Cai

University of Michigan — United States

Medicine · Health Sciences

5h-index106citations11works1.02yr avg
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Research Topics

COVID-19 diagnosis using AI(3), Machine Learning in Healthcare(3), Sepsis Diagnosis and Treatment(2), Context-Aware Activity Recognition Systems(2), Nutritional Studies and Diet(2)

Publications11 total

Leveraging Language Models for Automated Label Generation in Traumatic Brain Injury Radiology Reports
2025Open Access
Artificial Intelligence Analysis of Endoscopy Outperforms Conventional Endoscopic Scoring for Agreement with Symptoms and Quality of Life in a Phase 3 Ulcerative Colitis Trial
The American Journal of Gastroenterology·2025
Artificial Intelligence for Quantifying Endoscopic Mucosal Ulceration in Crohn’s Disease
Clinical Gastroenterology and Hepatology·2025· 3 cited
353 AUTOMATED DIGITAL ULCER QUANTITATION IN COLONOSCOPY IS BETTER ASSOCIATED WITH CLINICAL REMISSION THAN CONVENTIONAL ENDOSCOPIC SCORING IN CROHN'S DISEASE
Gastroenterology·2023
Prediction of Postoperative Deterioration in Cardiac Surgery Patients Using Electronic Health Record and Physiologic Waveform Data
Anesthesiology·2022· 22 citedOpen Access
Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study
Journal of Medical Internet Research·2022· 4 citedOpen Access
A Continuously Benchmarked and Crowdsourced Challenge for Rapid Development and Evaluation of Models to Predict COVID-19 Diagnosis and Hospitalization
JAMA Network Open·2021· 19 citedOpen Access
An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images
IEEE/ACM Transactions on Computational Biology and Bioinformatics·2021· 37 citedOpen Access
Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study (Preprint)
2021
Transfer learning with chest X-rays for ER patient classification
Scientific Reports·2020· 16 citedOpen Access
Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification
2020· 5 citedOpen Access

Frequent Co-authors

Kayvan Najarian(5), Jason Causey(4), Yuanfang Guan(4), Jonathan Stubblefield(3), Jake Qualls(3), Jennifer Fowler(3), Karl Walker(3), Xiuzhen Huang(3), Emily Wittrup(3), Shrinivas Bishu(3), Mitchell Hervert(2), Wei Dong(2), Emily S. Bellis(2), Jason H. Moore(2), Sara M. Nehring(2), Bo Zhang(2), Kaiwen Deng(2), Jie Shen(2), Bohdana Ratitch(2), Haoda Fu(2)