Artificial intelligence-enhanced infrared thermography as a diagnostic tool for thyroid malignancy detection.

Journal: Annals of medicine

PMID: 39512175

Abstract

INTRODUCTION: Thyroid nodules are common, and investigation is crucial for excluding malignancy. Increased intranodular vascularity is frequently observed in malignant tumors, which can be detected through increased skin surface temperatures using noninvasive infrared thermography. We aimed to develop a diagnostic tool for thyroid cancer using infrared thermal images combined with an artificial intelligence (AI) algorithm.

Authors

Panpicha Chantasartrassamee

Division of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Boonsong Ongphiphadhanakul
Ronnarat Suvikapakornkul

Breast and Endocrine Surgery Unit, Department of Surgery, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Panus Binsirawanich

Department of Otolaryngology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Chutintorn Sriphrapradang

Division of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Keywords

Adult Aged Algorithms Artificial Intelligence Cross-Sectional Studies Female Humans Infrared Rays Machine Learning Male Middle Aged Neural Networks, Computer Prospective Studies Sensitivity and Specificity Thermography Thyroid Gland Thyroid Neoplasms Thyroid Nodule

External Resources

View on PubMed Access via DOI PubMed (39512175)

Artificial intelligence-enhanced infrared thermography as a diagnostic tool for thyroid malignancy detection.

Abstract

Authors

Keywords

External Resources

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