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

Serge Assaad; David Dov; Christine Park; Richard Davis; Shahar Z. Kovalsky; Walter T. Lee; Russel R. Kahmke; Daniel J. Rocke; Jonathan Cohen; Ahuva Weiss-Meilik; Ricardo Henao; Lawrence Carin; Danielle Elliott Range

doi:10.1089/thy.2023.0054

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

Serge Assaad, David Dov, Christine Park, Richard Davis, Shahar Z. Kovalsky, Walter T. Lee, Russel R. Kahmke, Daniel J. Rocke, Jonathan Cohen, Ahuva Weiss-Meilik, Ricardo Henao, Lawrence Carin, Danielle Elliott Range^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Original language	English (US)
Pages (from-to)	531-535
Number of pages	5
Journal	Thyroid
Volume	34
Issue number	4
DOIs	https://doi.org/10.1089/thy.2023.0054
State	Published - Apr 1 2024

ASJC Scopus subject areas

Endocrinology, Diabetes and Metabolism
Endocrinology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1089/thy.2023.0054

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Assaad, S., Dov, D., Park, C., Davis, R., Kovalsky, S. Z., Lee, W. T., Kahmke, R. R., Rocke, D. J., Cohen, J., Weiss-Meilik, A., Henao, R., Carin, L., & Elliott Range, D. (2024). 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, 34(4), 531-535. https://doi.org/10.1089/thy.2023.0054

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title = "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",

author = "Serge Assaad and David Dov and Christine Park and Richard Davis and Kovalsky, {Shahar Z.} and Lee, {Walter T.} and Kahmke, {Russel R.} and Rocke, {Daniel J.} and Jonathan Cohen and Ahuva Weiss-Meilik and Ricardo Henao and Lawrence Carin and {Elliott Range}, Danielle",

year = "2024",

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doi = "10.1089/thy.2023.0054",

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Assaad, S, Dov, D, Park, C, Davis, R, Kovalsky, SZ, Lee, WT, Kahmke, RR, Rocke, DJ, Cohen, J, Weiss-Meilik, A, Henao, R, Carin, L & Elliott Range, D 2024, '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, vol. 34, no. 4, pp. 531-535. https://doi.org/10.1089/thy.2023.0054

TY - JOUR

T1 - 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

AU - Assaad, Serge

AU - Dov, David

AU - Park, Christine

AU - Davis, Richard

AU - Kovalsky, Shahar Z.

AU - Lee, Walter T.

AU - Kahmke, Russel R.

AU - Rocke, Daniel J.

AU - Cohen, Jonathan

AU - Weiss-Meilik, Ahuva

AU - Henao, Ricardo

AU - Carin, Lawrence

AU - Elliott Range, Danielle

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U2 - 10.1089/thy.2023.0054

DO - 10.1089/thy.2023.0054

M3 - Article

C2 - 38010913

AN - SCOPUS:85188572982

SN - 1050-7256

VL - 34

SP - 531

EP - 535

JO - Thyroid

JF - Thyroid

IS - 4

ER -

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

ASJC Scopus subject areas

UN SDGs

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