Smartphone-Based Applications for Skin Monitoring and Melanoma Detection

被引:49
|
作者
Chao, Elizabeth [1 ]
Meenan, Chelsea K. [2 ]
Ferris, Laura K. [1 ]
机构
[1] Univ Pittsburgh, Med Ctr, Dept Dermatol, Pittsburgh, PA 15213 USA
[2] Univ Pittsburgh, Sch Med, Pittsburgh, PA 15213 USA
关键词
Smartphone; Mobile app; Teledermatology; Mobile teledermoscopy; Malignant melanoma; Skin cancer screening; Regulatory oversight; RANDOMIZED CLINICAL-TRIAL; MOBILE APPLICATION; DERMATOLOGY; PATIENT; TECHNOLOGIES; APPS;
D O I
10.1016/j.det.2017.06.014
中图分类号
R75 [皮肤病学与性病学];
学科分类号
100206 ;
摘要
With the advancement of mobile technologies, smartphone applications (apps) have become widely available and gained increasing attention as a novel tool to deliver dermatologic care. This article presents a review of various apps for skin monitoring and melanoma detection and a discussion of current limitations in the field of dermatology. Concerns regarding quality, transparency, and reliability have emerged because there are currently no established quality standards or regulatory oversight of mobile medical apps. Only a few apps have been evaluated clinically. Further research is needed to evaluate the utility and efficacy of smartphone apps in skin cancer screening and early melanoma detection.
引用
收藏
页码:551 / +
页数:9
相关论文
共 50 条
  • [21] Survey of Smartphone-based Police Monitoring Apps
    Puente, Amy
    Tan, Chiu C.
    2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2015, : 579 - 584
  • [22] Biomedical applications of smartphone-based lateral flow detection systems as a diagnosis tool
    Al-Hawary, Sulieman Ibraheem Shelash
    Althomali, Raed H.
    Elov, Botir Boltayevich
    Hussn, Manar
    Obaid, Rasha Fadhel
    Jabbar, Hijran Sanaan
    Romero-Parra, Rosario Mireya
    Zearah, Sajad Ali
    Albahash, Zeid Fadel
    Sapaev, I. B.
    MICROCHEMICAL JOURNAL, 2023, 193
  • [23] Smartphone-based molecularly imprinted sensors for rapid detection of thiamethoxam residues and applications
    Peng, Sihua
    Wang, Aqiang
    Lian, Yuyang
    Zhang, Xi
    Zeng, Bei
    Chen, Qiulin
    Yang, Heming
    Li, Jinlei
    Li, Limin
    Dan, Jianguo
    Liao, Jianjun
    Zhou, Shihao
    PLOS ONE, 2021, 16 (11):
  • [24] Smartphone-based fundus imaging: applications and adapters
    Jansen, Linus G.
    Schultz, Thomas
    Holz, Frank G.
    Finger, Robert P.
    Wintergerst, Maximilian W. M.
    OPHTHALMOLOGE, 2022, 119 (02): : 112 - 126
  • [25] Smartphone-based fundus imaging: applications and adapters
    Jansen, Linus G.
    Schultz, Thomas
    Holz, Frank G.
    Finger, Robert P.
    Wintergerst, Maximilian W. M.
    OPHTHALMOLOGIE, 2022, 119 (02): : 112 - 126
  • [26] The Design of a Smartphone-Based Fall Detection System
    Sie, Meng-Ruei
    Lo, Shou-Chih
    2015 IEEE 12TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC), 2015, : 456 - 461
  • [27] Smartphone-Based Obstacle Detection for the Visually Impaired
    Caldini, Alessandro
    Fanfani, Marco
    Colombo, Carlo
    IMAGE ANALYSIS AND PROCESSING - ICIAP 2015, PT I, 2015, 9279 : 480 - 488
  • [28] Stop Detection in Smartphone-based Travel Surveys
    Zhao, Fang
    Ghorpade, Ajinkya
    Pereira, Francisco Camara
    Zegras, Christopher
    Ben-Akiva, Moshe
    TRANSPORT SURVEY METHODS: EMBRACING BEHAVIOURAL AND TECHNOLOGICAL CHANGES, 2015, 11 : 218 - 226
  • [29] Portable smartphone-based aptasensor for nitrofuran detection
    Kaewnu, Krittapas
    Kongkaew, Supatinee
    Unajak, Sasimanas
    Hoihuan, Atittaya
    Jaengphop, Chutikarn
    Kanatharana, Proespichaya
    Thavarungkul, Panote
    Limbut, Warakorn
    MICROCHEMICAL JOURNAL, 2024, 200
  • [30] Robust and ubiquitous smartphone-based lane detection
    Aly, Heba
    Basalamah, Anas
    Youssef, Moustafa
    PERVASIVE AND MOBILE COMPUTING, 2016, 26 : 35 - 56