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Miao Cui, M.D.

Miao Cui, M.D.

Titles and Appointments

Assistant Professor

Schools
Medical School
Departments
Pathology

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For more information on the doctor and patient care, please visit the clinical profile.

  • Biography

    Miao Cui, M.D., M.S., is an Assistant Professor of Pathology at UT Southwestern Medical Center with subspecialty expertise in thoracic and breast surgical pathology and a particular academic interest in the integration of artificial intelligence, computational pathology, and quantitative methods into diagnostic practice.

    Dr. Cui completed residency training in Anatomic and Clinical Pathology at the Icahn School of Medicine at Mount Sinai, where Dr. Cui served as Chief Resident, followed by consecutive fellowships in Oncologic Surgical Pathology and Thoracic Pathology at Memorial Sloan Kettering Cancer Center. Dr. Cui’s principal clinical and academic interests include neoplastic lung pathology, thymic lesions, mesothelioma, and interstitial lung disease, with an additional interest in breast pathology.

    A major focus of Dr. Cui’s academic work is artificial intelligence and computational pathology. Dr. Cui has studied machine-learning approaches for pathology image recognition and classification and has designed and fine-tuned multiple domain-specific AI models intended for practical applications in pathology. These projects span histopathologic image interpretation, differential diagnosis, thoracic pathology and radiology integration, medical knowledge retrieval, scientific writing, and transformation of unstructured medical information into structured data for downstream analysis. Dr. Cui has also explored strategies to improve the reliability of large language models in medicine, including approaches designed to reduce data hallucination, which are the subject of a pending U.S. patent. This work is complemented by invited lectures on GPT-driven AI, language-model fine-tuning, and their applications in pathology informatics and daily practice.

    Dr. Cui also has a longstanding interest in statistics, quantitative analysis, and data-driven biomedical research. Prior research has encompassed high-throughput proteomics, molecular profiling, signaling-pathway analysis, biomarker discovery, and computational pathology. This quantitative perspective increasingly informs Dr. Cui’s work in machine learning, where careful data curation, model validation, statistical interpretation, and clinically meaningful performance assessment are essential for translating computational tools into pathology practice.

    Through the convergence of subspecialty diagnostic pathology, artificial intelligence, and quantitative methodology, Dr. Cui’s academic goal is to develop practical and reliable computational tools that augment pathologists’ expertise, improve diagnostic precision, and advance personalized patient care.

  • Education
    Medical Education
    Nantong University (2008), MD
    Medical Education
    Southern Medical University (2012), Ms
    Residency
    Icahn School of Medicine -- Mount Sinai Morningside and Mount Sinai West (2024), Anatomic & Clinical Pathology
    Fellowship
    Memorial Sloan Kettering Cancer Center (2025), Surgical Oncology Pathology
    Fellowship
    Memorial Sloan Kettering Cancer Center (2026), Thoracic Pathology
  • Research Interest
    • Artificial Intelligence
    • Breast Pathology
    • Fine-Tuning Large Language Models
    • Interstitial Pneumonia
    • Mesothelioma
    • Neoplastic Lung Disease
    • Thymic Lesions
  • Publications

    Star Featured Publications

    Featured
    The imbalance of circulating monocyte subgroups with a higher proportion of the CD14+CD16+CD163+ phenotype in patients with preeclampsia.
    Gong F, Wang J, Lu N, Wang J, Wang J, Shi X, Cui M, Cui L, Immunol Lett 2023 Jan 253 1-7
    Omicron-adapted vaccines might require longer follow-up to reveal true benefits.
    Tang L, Zhang R, Cui M, Hong P, Lancet Microbe 2022 Oct
    High-throughput proteomics: a methodological mini-review.
    Cui M, Cheng C, Zhang L, Lab Invest 2022 Aug
    Finite neutralisation breadth of omicron after repeated vaccination.
    Zhu Y, Lu Y, Tang L, Zhou C, Liang R, Cui M, Xu Y, Zheng Z, Cheng Z, Hong P, Lancet Microbe 2022 Jul
    Association of neutralizing breadth against SARS-CoV-2 with inoculation orders of heterologous prime-boost vaccines.
    Zhu Y, Lu Y, Zhou C, Tong G, Gao M, Zhan Y, Wang Y, Liang R, Li Y, Gao T, Wang L, Zhang M, Cheng J, Gong J, Wang J, Zhang W, Qi J, Cui M, Zhu L, Xiao F, Zhu L, Xu Y, Zheng Z, Zhou Z, Cheng Z, Hong P, Med (N Y) 2022 Jun
    Post-recovery enhancement of anti-variant neutralisation after severe COVID-19.
    Lu Y, Zhu Y, Cui M, Cheng Z, Hong P, Lancet Microbe 2022 Feb
    SARS-CoV-2 immunity and functional recovery of COVID-19 patients 1-year after infection.
    Zhan Y, Zhu Y, Wang S, Jia S, Gao Y, Lu Y, Zhou C, Liang R, Sun D, Wang X, Hou Z, Hu Q, Du P, Yu H, Liu C, Cui M, Tong G, Zheng Z, Xu Y, Zhu L, Cheng J, Wu F, Zheng Y, Liu P, Hong P, Signal Transduct Target Ther 2021 10 6 1 368
    Artificial intelligence and computational pathology.
    Cui M, Zhang DY, Lab Invest 2021 Apr 101 4 412-422
    Clinical evidence of an interferon-glucocorticoid therapeutic synergy in COVID-19.
    Lu Y, Liu F, Tong G, Qiu F, Song P, Wang X, Zou X, Wan D, Cui M, Xu Y, Zheng Z, Hong P, Signal Transduct Target Ther 2021 Mar 6 1 107
  • Books

    Featured 

    Chapter III: office-based pathology laboratory. In An Outline of Office-based Bladder and Prostate Biopsy Pathology

    Zhang DY, Cui M, Wu J (2019). Nova Science Publishers

  • Honors & Awards
    • Lizhen Gui Award
      Chinese American Pathologists Association (CAPA) (2023)
    • Resident and Fellow of the Month
      Icahn School of Medicine at Mount Sinai (ISMMS) Graduate Medical Education (GME) (2022)
    • COVID-19 Contribution Award
      Chinese American Pathologists Association (CAPA) (2021)
    • STAR Employee Recognition Award of Mount Sinai Health System
      (2021)
  • Professional Associations/Affiliations
    • American Society of Clinical Pathology (ASCP)
    • Association for Pathology Informatics (API)
    • Chinese American Pathologists Association (CAPA)
    • College of American Pathologists (CAP)
    • Digital Pathology Association (DPA)
    • International Association for the Study of Lung Cancer (IASLC)
    • International Thymic Malignancy Interest Group (ITMIG)
    • Pulmonary Pathology Society (PPS)
    • United States and Canadian Academy of Pathology (USCAP)