Combining Image Similarity and Predictive Artificial Intelligence Models to Decrease Subjectivity in Thyroid Nodule Diagnosis and Improve Malignancy Prediction.

Journal: Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists
Published Date: Aug 8, 2024

Abstract

OBJECTIVES: To evaluate the efficacy of combining predictive artificial intelligence (AI) and image similarity model to risk stratify thyroid nodules, using retrospective external validation study.

Authors

  • Govind Nair
    National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA.
  • Aishwarya Vedula
    Independent Researcher, Princeton, New Jersey. Electronic address: aishsvedula@gmail.com.
  • Ethan Thomas Johnson
    Independent Researcher, Springfield, Missouri.
  • Johnson Thomas
    Department of Endocrinology, Mercy Hospital, Springfield, Missouri, USA.
  • Rajshree Patel
    Endocrinology, Diabetes and Metabolism, Princeton Medical Group, Princeton, New Jersey.
  • Jennifer Cheng
    Division Chief of Endocrinology, HMH Jersey Shore University Medical Center, Hackensack Meridian School of Medicine, Neptune, New Jersey.
  • Ramya Vedula
    Assistant Professor of Clinical Medicine, Robert Wood Johnson School of Medicine, New Brunswick, New Jersey. Electronic address: rvedula@princetonmedicalgroup.com.

Keywords

External Resources

Popular Topics
Recent Journals