144 related articles for article (PubMed ID: 37652837)
1. Value of Artificial Intelligence in Improving the Accuracy of Diagnosing TI-RADS Category 4 Nodules.
Lai M; Feng B; Yao J; Wang Y; Pan Q; Chen Y; Chen C; Feng N; Shi F; Tian Y; Gao L; Xu D
Ultrasound Med Biol; 2023 Nov; 49(11):2413-2421. PubMed ID: 37652837
[TBL] [Abstract][Full Text] [Related]
2. An Artificial Intelligence Model Based on ACR TI-RADS Characteristics for US Diagnosis of Thyroid Nodules.
Chen Y; Gao Z; He Y; Mai W; Li J; Zhou M; Li S; Yi W; Wu S; Bai T; Zhang N; Zeng W; Lu Y; Liu H
Radiology; 2022 Jun; 303(3):613-619. PubMed ID: 35315719
[TBL] [Abstract][Full Text] [Related]
3. Deep Learning Based on ACR TI-RADS Can Improve the Differential Diagnosis of Thyroid Nodules.
Wu GG; Lv WZ; Yin R; Xu JW; Yan YJ; Chen RX; Wang JY; Zhang B; Cui XW; Dietrich CF
Front Oncol; 2021; 11():575166. PubMed ID: 33987082
[TBL] [Abstract][Full Text] [Related]
4. Multitask network for thyroid nodule diagnosis based on TI-RADS.
Han X; Chang L; Song K; Cheng L; Li M; Wei X
Med Phys; 2022 Aug; 49(8):5064-5080. PubMed ID: 35608232
[TBL] [Abstract][Full Text] [Related]
5. Convolutional Neural Network to Stratify the Malignancy Risk of Thyroid Nodules: Diagnostic Performance Compared with the American College of Radiology Thyroid Imaging Reporting and Data System Implemented by Experienced Radiologists.
Kim GR; Lee E; Kim HR; Yoon JH; Park VY; Kwak JY
AJNR Am J Neuroradiol; 2021 Aug; 42(8):1513-1519. PubMed ID: 33985947
[TBL] [Abstract][Full Text] [Related]
6. Additional Value of Superb Microvascular Imaging for Thyroid Nodule Classification with the Thyroid Imaging Reporting and Data System.
Chen L; Zhan J; Diao XH; Liu YC; Shi YX; Chen Y; Zhan WW
Ultrasound Med Biol; 2019 Aug; 45(8):2040-2048. PubMed ID: 31130409
[TBL] [Abstract][Full Text] [Related]
7. Ultrasound Computer-Aided Diagnosis (CAD) Based on the Thyroid Imaging Reporting and Data System (TI-RADS) to Distinguish Benign from Malignant Thyroid Nodules and the Diagnostic Performance of Radiologists with Different Diagnostic Experience.
Jin Z; Zhu Y; Zhang S; Xie F; Zhang M; Zhang Y; Tian X; Zhang J; Luo Y; Cao J
Med Sci Monit; 2020 Jan; 26():e918452. PubMed ID: 31929498
[TBL] [Abstract][Full Text] [Related]
8. Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility.
Wildman-Tobriner B; Buda M; Hoang JK; Middleton WD; Thayer D; Short RG; Tessler FN; Mazurowski MA
Radiology; 2019 Jul; 292(1):112-119. PubMed ID: 31112088
[TBL] [Abstract][Full Text] [Related]
9. Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network.
Wang L; Yang S; Yang S; Zhao C; Tian G; Gao Y; Chen Y; Lu Y
World J Surg Oncol; 2019 Jan; 17(1):12. PubMed ID: 30621704
[TBL] [Abstract][Full Text] [Related]
10. Does a higher American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) score forecast an increased risk of malignancy? A correlation study of ACR TI-RADS with FNA cytology in the evaluation of thyroid nodules.
Modi L; Sun W; Shafizadeh N; Negron R; Yee-Chang M; Zhou F; Simsir A; Sheth S; Brandler TC
Cancer Cytopathol; 2020 Jul; 128(7):470-481. PubMed ID: 32078249
[TBL] [Abstract][Full Text] [Related]
11. Comparison of diagnostic accuracy and utility of artificial intelligence-optimized ACR TI-RADS and original ACR TI-RADS: a multi-center validation study based on 2061 thyroid nodules.
Liu Y; Li X; Yan C; Liu L; Liao Y; Zeng H; Huang W; Li Q; Tao N; Zhou J
Eur Radiol; 2022 Nov; 32(11):7733-7742. PubMed ID: 35505119
[TBL] [Abstract][Full Text] [Related]
12. A Comparative Analysis of Two Machine Learning-Based Diagnostic Patterns with Thyroid Imaging Reporting and Data System for Thyroid Nodules: Diagnostic Performance and Unnecessary Biopsy Rate.
Zhao CK; Ren TT; Yin YF; Shi H; Wang HX; Zhou BY; Wang XR; Li X; Zhang YF; Liu C; Xu HX
Thyroid; 2021 Mar; 31(3):470-481. PubMed ID: 32781915
[No Abstract] [Full Text] [Related]
13. The Diagnostic Value of Artificial Intelligence Ultrasound S-Detect Technology for Thyroid Nodules.
Huang P; Zheng B; Li M; Xu L; Rabbani S; Mayet AM; Chen C; Zhan B; Jun H
Comput Intell Neurosci; 2022; 2022():3656572. PubMed ID: 36471665
[TBL] [Abstract][Full Text] [Related]
14. [The diagnostic value of the maximum value of Young's modulus of shear-wave elastography and ACR TI-RADS for thyroid nodules].
Xu X; He XL; Guo LL
Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi; 2019 Aug; 33(8):764-767. PubMed ID: 31446736
[No Abstract] [Full Text] [Related]
15. Risk Stratification of
Felder GJ; Naeem M; Shady W; Shetty AS; Fraum TJ; Itani M
J Am Coll Radiol; 2021 Mar; 18(3 Pt A):388-394. PubMed ID: 33137296
[TBL] [Abstract][Full Text] [Related]
16. Diagnostic performance of thyroid imaging reporting and data system (TI-RADS) alone and in combination with contrast-enhanced ultrasonography for the characterization of thyroid nodules.
Zhao H; Liu X; Lei B; Cheng P; Li J; Wu Y; Ma Z; Wei F; Su H
Clin Hemorheol Microcirc; 2019; 72(1):95-106. PubMed ID: 30320563
[TBL] [Abstract][Full Text] [Related]
17. Incorporation of a Machine Learning Algorithm With Object Detection Within the Thyroid Imaging Reporting and Data System Improves the Diagnosis of Genetic Risk.
Wang S; Xu J; Tahmasebi A; Daniels K; Liu JB; Curry J; Cottrill E; Lyshchik A; Eisenbrey JR
Front Oncol; 2020; 10():591846. PubMed ID: 33282741
[TBL] [Abstract][Full Text] [Related]
18. American college of radiology thyroid imaging reporting and data system score has high diagnostic value in the diagnosis of malignant thyroid nodules: A prospective single-center cross-sectional study.
Biswas S; Sureka B; Kaushal D; Elhence P; Goyal A; Yadav T; Goel A; Khera PS
Ann Afr Med; 2022; 21(4):377-382. PubMed ID: 36412338
[TBL] [Abstract][Full Text] [Related]
19. Diagnostic Value of Artificial Intelligence-Assistant Diagnostic System Combined With Contrast-Enhanced Ultrasound in Thyroid TI-RADS 4 Nodules.
Gong ZJ; Xin J; Yin J; Wang B; Li X; Yang HX; Zhu YW; Shen J; Gu J
J Ultrasound Med; 2023 Jul; 42(7):1527-1535. PubMed ID: 36723397
[TBL] [Abstract][Full Text] [Related]
20. Comparison of Thyroid Risk Categorization Systems and Fine-Needle Aspiration Recommendations in a Multi-Institutional Thyroid Ultrasound Registry.
Hoang JK; Middleton WD; Langer JE; Schmidt K; Gillis LB; Nair SS; Watts JA; Snyder RW; Khot R; Rawal U; Tessler FN
J Am Coll Radiol; 2021 Dec; 18(12):1605-1613. PubMed ID: 34419476
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
