Similar articles for PMID: 30610147

Year	Number of Results
1998	1
2001	1
2002	1
2003	3
2004	2
2005	3
2006	4
2007	3
2008	1
2009	1
2010	7
2011	5
2012	3
2013	8
2014	10
2015	6
2016	10
2017	17
2018	13
2019	16
2020	3
2021	5

1

Teaching Benign Skin Lesions as a Strategy to Improve the Triage Amalgamated Dermoscopic Algorithm (TADA).

Seiverling EV, Ahrns HT, Greene A, Butt M, Yélamos O, Dusza SW, Marghoob AA. Seiverling EV, et al. J Am Board Fam Med. 2019 Jan-Feb;32(1):96-102. doi: 10.3122/jabfm.2019.01.180049. J Am Board Fam Med. 2019. PMID: 30610147 Free article.

2

A Clinical Aid for Detecting Skin Cancer: The Triage Amalgamated Dermoscopic Algorithm (TADA).

Rogers T, Marino ML, Dusza SW, Bajaj S, Usatine RP, Marchetti MA, Marghoob AA. Rogers T, et al. J Am Board Fam Med. 2016 Nov 12;29(6):694-701. doi: 10.3122/jabfm.2016.06.160079. J Am Board Fam Med. 2016. PMID: 28076252 Free PMC article.

3

Dermoscopy Training Effect on Diagnostic Accuracy of Skin Lesions in Canadian Family Medicine Physicians Using the Triage Amalgamated Dermoscopic Algorithm.

Sawyers EA, Wigle DT, Marghoob AA, Blum A. Sawyers EA, et al. Dermatol Pract Concept. 2020 Apr 3;10(2):e2020035. doi: 10.5826/dpc.1002a35. eCollection 2020. Dermatol Pract Concept. 2020. PMID: 32363097 Free PMC article.

4

Triage amalgamated dermoscopic algorithm (TADA) for skin cancer screening.

Rogers T, Marino M, Dusza SW, Bajaj S, Marchetti MA, Marghoob A. Rogers T, et al. Dermatol Pract Concept. 2017 Apr 30;7(2):39-46. doi: 10.5826/dpc.0702a09. eCollection 2017 Apr. Dermatol Pract Concept. 2017. PMID: 28515993 Free PMC article.

5

Dermoscopic Lotus of Learning: Implementation and Dissemination of a Multimodal Dermoscopy Curriculum for Primary Care.

Seiverling E, Ahrns H, Stevens K, Ayers L, Nussinow T, Dorr G, Cyr P. Seiverling E, et al. J Med Educ Curric Dev. 2021 Feb 1;8:2382120521989983. doi: 10.1177/2382120521989983. eCollection 2021 Jan-Dec. J Med Educ Curric Dev. 2021. PMID: 33598548 Free PMC article.

6

A comparison of dermoscopic features among lentigo senilis/initial seborrheic keratosis, seborrheic keratosis, lentigo maligna and lentigo maligna melanoma on the face.

Sahin MT, Oztürkcan S, Ermertcan AT, Güneş AT. Sahin MT, et al. J Dermatol. 2004 Nov;31(11):884-9. doi: 10.1111/j.1346-8138.2004.tb00621.x. J Dermatol. 2004. PMID: 15729860

7

Dermoscopy Improves the Diagnostic Accuracy of Melanomas Clinically Resembling Seborrheic Keratosis: Cross-Sectional Study of the Ability to Detect Seborrheic Keratosis-Like Melanomas by a Group of Dermatologists with Varying Degrees of Experience.

Carrera C, Segura S, Aguilera P, Takigami CM, Gomes A, Barreiro A, Scalvenzi M, Longo C, Cavicchini S, Thomas L, Malvehy J, Puig S, Zalaudek I. Carrera C, et al. Dermatology. 2017;233(6):471-479. doi: 10.1159/000486851. Epub 2018 Mar 2. Dermatology. 2017. PMID: 29502116

8

Evaluation of dermoscopic algorithm for seborrhoeic keratosis: a prospective study in 412 patients.

Lin J, Han S, Cui L, Song Z, Gao M, Yang G, Fu Y, Liu X. Lin J, et al. J Eur Acad Dermatol Venereol. 2014 Jul;28(7):957-62. doi: 10.1111/jdv.12241. Epub 2013 Aug 24. J Eur Acad Dermatol Venereol. 2014. PMID: 23980820

9

The Role of Color and Morphologic Characteristics in Dermoscopic Diagnosis.

Bajaj S, Marchetti MA, Navarrete-Dechent C, Dusza SW, Kose K, Marghoob AA. Bajaj S, et al. JAMA Dermatol. 2016 Jun 1;152(6):676-82. doi: 10.1001/jamadermatol.2016.0270. JAMA Dermatol. 2016. PMID: 27007917 Free PMC article.

10

Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017.

Marchetti MA, Liopyris K, Dusza SW, Codella NCF, Gutman DA, Helba B, Kalloo A, Halpern AC; International Skin Imaging Collaboration. Marchetti MA, et al. J Am Acad Dermatol. 2020 Mar;82(3):622-627. doi: 10.1016/j.jaad.2019.07.016. Epub 2019 Jul 12. J Am Acad Dermatol. 2020. PMID: 31306724

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