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

ThyroidJust Accepted A preliminary study comparing the performance of thyroid molecular tests to a deep learning algorithm in predicting malignancy in indeterminate thyroid fine needle aspiration biopsiesMr. Serge Assaad, Dr. David Dov, Ms. Christine Park, Dr. Richard Davis, Dr. Shahar Z Kovalsky, Dr. Walter T Lee, Dr. Russel R Kahmke, Dr. Daniel J Rocke, Dr. Jonathan Cohen, Dr. Ahuva Weiss-Meilik, Dr. Ricardo Henao, Dr. Lawrence Carin, and Dr. Danielle RangeMr. Serge Assaad, Dr. David Dov, Ms. Christine Park, Dr. Richard Davis, Dr. Shahar Z Kovalsky, Dr. Walter T Lee, Dr. Russel R Kahmke, Dr. Daniel J Rocke, Dr. Jonathan Cohen, Dr. Ahuva Weiss-Meilik, Dr. Ricardo Henao, Dr. Lawrence Carin, and Dr. Danielle RangePublished Online:27 Nov 2023https://doi.org/10.1089/thy.2023.0054AboutSectionsPDF/EPUB Permissions & CitationsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookXLinked InRedditEmail Abstract-FiguresReferencesRelatedDetails Volume 0Issue ja InformationCopyright 2023To cite this article:Mr. Serge Assaad, Dr. David Dov, Ms. Christine Park, Dr. Richard Davis, Dr. Shahar Z Kovalsky, Dr. Walter T Lee, Dr. Russel R Kahmke, Dr. Daniel J Rocke, Dr. Jonathan Cohen, Dr. Ahuva Weiss-Meilik, Dr. Ricardo Henao, Dr. Lawrence Carin, and Dr. Danielle Range.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.Thyroid®.ahead of printhttp://doi.org/10.1089/thy.2023.0054Online Ahead of Editing: November 27, 2023PDF download