A Preliminary Study Comparing the Performance of Thyroid Molecular Tests to a Deep Learning Algorithm in Predicting Malignancy in Indeterminate Thyroid Fine Needle Aspiration Biopsies.

Abstract

Authors

• Serge Assaad
  Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina, USA.
• David Dov
  Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA.
• Christine Park
  School of Medicine, Duke University, Durham, NC, USA.
• Richard Davis
  Department of Pathology, Duke University Medical Center, Durham, North Carolina, USA.
• Shahar Z Kovalsky
  Department of Mathematics, Trinity College of Arts and Sciences, Duke University, Durham, North Carolina.
• Walter T Lee
  Department of Head and Neck Surgery & Communication Sciences, Duke University Medical Center, Durham, North Carolina.
• Russel R Kahmke
  Division of Otolaryngology-Head and Neck Surgery, Duke University Medical Center, Durham, North Carolina, U.S.A.
• Daniel J Rocke
  Department of Head and Neck Surgery & Communication Sciences, Duke University Medical Center, Durham, North Carolina.
• Jonathan Cohen
  Division of biostatistics, School of Public Health, university of California Berkeley, CA, USA.
• Ahuva Weiss-Meilik
  I-Medata AI Center, Tel-Aviv Sourasky Medical Center, 6423906, Tel Aviv, Israel. ahuvawm@tlvmc.gov.il.
• Ricardo Henao
  Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, North Carolina.
• Lawrence Carin
  Department of Electronic and Computer Engineering, Duke University, Durham, NC, 27705, USA.
• Danielle Elliott Range
  Department of Pathology, Duke University Medical Center, Durham, North Carolina.

Keywords

External Resources