Xueyan Mei, PhD

Dr. Xueyan Mei is an Instructor in the BioMedical Engineering and Imaging Institute (BMEII), the Department of Diagnostic, Molecular and Interventional Radiology, and the Windreich Department of Artificial Intelligence and Human Health at the Icahn School of Medicine at Mount Sinai. Dr. Mei obtained her Ph.D. in Biological Science and completed her postdoctoral training at BMEII under the supervision of Dr. Zahi A. Fayad. Dr. Mei has numerous publications in leading international journals and conferences. She served on the trainee editorial board of Radiology: Artificial Intelligence. Dr. Mei is the recipient of the prestigious Eric and Wendy Schmidt AI in Human Health Fellow award from the Eric Schmidt Foundation as of June 2024. During her PhD, she developed the RadImageNet database and pre-trained weights, enhancing AI training and facilitating transfer learning across specific challenges. Dr. Mei is actively working in designing innovative methods for medical image analysis, developing multi-modal AI and ML models for diagnosis, and creating vision-language models that integrate biomedical images with medical notes. Her work also extends to large language models adept at managing electronic health records and AI bots designed to streamline physician workflows.

Selected Publications

· Mei X, Lee HC, Diao KY, Huang M, Lin B, Liu C, Xie Z, Ma Y, Robson PM, Chung M, Bernheim A, Mani V, Calcagno C, Li K, Li S, Shan H, Lv J, Zhao T, Xia J, Long Q, Steinberger S, Jacobi A, Deyer T, Luksza M, Liu F, Little BP, Fayad ZA, Yang Y. Artificial intelligence-enabled rapid diagnosis of patients with COVID-19. Nat Med. 2020 Aug;26(8):1224-1228. doi: 10.1038/s41591-020-0931-3. Epub 2020 May 19. PMID: 32427924; PMCID: PMC7446729.

· Varshneya M, Mei X, Sobie EA. Prediction of arrhythmia susceptibility through mathematical modeling and machine learning. Proc Natl Acad Sci U S A. 2021 Sep 14;118(37):e2104019118. doi: 10.1073/pnas.2104019118. PMID: 34493665; PMCID: PMC8449417.

· Mei X, Liu Z, Robson PM, Marinelli B, Huang M, Doshi A, Jacobi A, Cao C, Link KE, Yang T, Wang Y, Greenspan H, Deyer T, Fayad ZA, Yang Y. RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning. Radiol Artif Intell. 2022 Jul 27;4(5):e210315. doi: 10.1148/ryai.210315. PMID: 36204533; PMCID: PMC9530758.

· Mei X, Liu Z, Singh A, Lange M, Boddu P, Gong JQX, Lee J, DeMarco C, Cao C, Platt S, Sivakumar G, Gross B, Huang M, Masseaux J, Dua S, Bernheim A, Chung M, Deyer T, Jacobi A, Padilla M, Fayad ZA, Yang Y. Interstitial lung disease diagnosis and prognosis using an AI system integrating longitudinal data. Nat Commun. 2023 Apr 20;14(1):2272. doi: 10.1038/s41467-023-37720-5. PMID: 37080956; PMCID: PMC10119160.

· Pinaya WH, Graham MS, Kerfoot E, Tudosiu PD, Dafflon J, Fernandez V, Sanchez P, Wolleb J, da Costa PF, Patel A, Chung H. Generative ai for medical imaging: extending the monai framework. arXiv preprint arXiv:2307.15208. 2023 Jul 27.