1.
Azuma RT. A survey of augmented reality. Presence: Teleoperators& Virtual Environments. 1997;6(4):355-385.
2.
Reznick RK, MacRae H. Medical education-teaching surgicalskills-changes in the wind. N Engl J Med. 2006;355(25):2664-2669.
3.
Obagi Z, Rundle C, Dellavalle R. Widening the scope of virtualreality and augmented reality in dermatology. Dermatol Online J.2020;26(6):13030.
4.
Sharma P, Vleugels RA, Nambudiri VE. Augmented realityin dermatology: are we ready for AR? J Am Acad Dermatol.2019;81(5):1216-1222.
5.
Prado G. Kovarik C. Cutting edge technology in dermatology:virtual reality and artificial ıntelligence. Cutis. 2018;101(3):236-237.
6.
Noll C, Haussermann B, von Jan U, et al. Mobile augmentedreality in dermatology. Biomed Eng-Biomed Tech. 2014;59(S1):S1216-S1220.
7.
Noll C, von Jan U, Raap U, Albrecht U-V. Mobile augmentedreality as a feature for self-oriented, blended learning inmedicine: randomized controlled trial. JMIR mHealth uHealth.2017;5(3):e7943.
8.
Aldridge RB, Li XA, Ballerini L, Rees JL. Teaching dermatologyusing 3-dimensional virtual reality. Arch Dermatol. 2010;146(10):1184-1185.
9.
Kantor, J. Application of google glass to mohs micrographicsurgery: a pilot study in 120 patients. Dermatol Surg. 2015;41(2):288-289.
10.
Gladstone HB, Raugi GJ, Berg D, Berkley J, Weghorst S, Ganter M.Virtual reality for dermatologic surgery: virtually a reality in the21st century. J Am Acad Dermatol. 2000;42(1):106-112.
11.
Zhang S, Blalock TW. Measuring cutaneous lesions: Trends inclinical practice. Dermatol Surg. 2018;44(3):383-387.
12.
Federman DG, Kirsner RS. The abilities of primary care physiciansin dermatology: implications for quality of care. Am J ManagCare. 1997;3(10):1487-1492.
13.
Garg A, Haley H-L, Hatem D. Modern moulage evaluating the useof 3-dimensional prosthetic mimics in a dermatology teachingprogram for second-year medical students. Arch Dermatol.2010;146(2):143-146.
14.
Culp MB, Lunsford NB. Melanoma among non-hispanicblack Americans. Prev Chronic Dis. 2019;16:E79 doi: 10.5888/pcd16.180640
15.
Caryn Rabin R. Dermatology’s skin color problem. The New YorkTimes. 2020;p.1.
16.
Ghorbani A, Natarajan V, Coz D, Liu Y. DermGAN: Syntheticgeneration of clinical skin images with pathology. In Proceedingsof the Machine Learning for Health NeurIPS Workshop. ProcMach Learn Res. 2020;116:155-170.
17.
Horsham C, Dutton-Regester K, Antrobus J, Goldston, A et al.A virtual reality game to change sun protection behavior andprevent cancer: user-centered design approach. JMIR SeriousGames. 2021;9(1):e24652.
18.
Virtual Derm Is a Health Education app, Meant to Provide aTraining Platform to Help Medical Students and DermatologistsTraining Their Observational, Diagnostic and Treatment/Care Skills for a Better Patient Care in Dermatology. Version2.0, 2020. Updated June 2, 2020. Accessed August 23. https://play.google.com/store/apps/details?id=com.HumanGames.VirtualDerm2&hl=en&gl=US
19.
Hale E. Handbook of dermatologic surgery. Springer: New York,NY, USA, 2014.
20.
Khor WS, Baker B, Amin K. Augmented and virtual reality insurgery-the digital surgical environment: applications, limitationsand legal pitfalls. Ann Transl Med. 2016;4.
21.
Berg D, Raugi G, Gladstone H. Virtual reality simulators fordermatologic surgery: measuring their validity as a teaching tool.Dermatol Surg. 2001;27(4):370-374.
22.
Higgins S, Feinstein S, Hawkins M. Virtual reality to ımprovethe experience of the mohs patient-a prospective interventionalstudy. Dermatol Surg. 2019;45(7):1009-1018.
23.
Rodriguez-Jimenez P, Ruiz-Rodriguez R. Augmented reality inMohs micrographic surgery. Int J Dermatol. 2020; 59(10):E22-E23.
24.
Young AT, Xiong ML, Pfau J, et al. Artificial intelligence indermatology: a primer. J Investig Dermatol. 2020;140(7):1504-1512.
25.
Francese R, Frasca M, Risi M. A mobile augmented realityapplication for supporting real-time skin lesion analysis based ondeep learning. J Real-Time Image Process. 2021;18(5):1247-1259.
26.
Freeman K, Dinnes J, Chuchu N. Algorithm based smartphoneapps to assess risk of skin cancer in adults: Systematic review ofdiagnostic accuracy studies. Bmj-Br Med J. 2020;368:m127.
27.
Sun MD, Kentley J, Mehta P, Dusza S, Halpern AC, Rotemborg V.Accuracy of commercially available smartphone applications forthe detection of melanoma. Br J Dermatol. 2022;186(4):744.
28.
Chuchu N, Takwoingi Y, Dinnes J. Smartphone applications fortriaging adults with skin lesions that are suspicious for melanoma.Cochrane Database Syst Rev. 2018;(12). doi.org/10.1002/14651858.CD013192
29.
Srinivasan MA, Basdogan C. Haptics in virtual environments:taxonomy, research status, and challenges. Comput Graph.1997;21(4):393-404.
30.
Waldron KJ, Enedah C, Gladstone H. Stiffness and textureperception for teledermatology. Stud Health Technol Inform.2005;111:579-585.
31.
Kim K, Lee S. Perception-based 3D tactile rendering from a singleimage for human skin examinations by dynamic touch. Ski ResTechnol. 2015;21(2):164-174.
32.
Kim K. Roughness based perceptual analysis towards digitalskin imaging system with haptic feedback. Ski Res Technol.2016;22(3):334-340.
33.
Parsons D, MacCallum K. Current perspectives on augmentedreality in medical education: applications affordances andlimitations. Adv Med Educ Pract. 2021;12:77-91. doi: 10.2147/AMEP.S249891
34.
Xu X, Mangina E, Campbell AG. HMD-based virtual andaugmented reality in medical education: a systematic review.Front Virtual Real. 2021;2:692103.
35.
Kassutto SM, Baston C, Clancy C. Virtual, augmented, andalternate reality in medical education: socially distanced but fullyımmersed. ATS Sch. 2021;2(4):651-664.