Literature DB >> 26521532

Smartphone Mobile Applications to Enhance Diagnosis of Skin Cancer: A Guide for the Rural Practitioner.

Shane E Cook, Louis C Palmer, Franklin D Shuler.   

Abstract

Primary care physicians occupy a vital position to impact many devastating conditions, especially those dependent upon early diagnosis, such as skin cancer. Skin cancer is the most common cancer in the United States and despite improvements in skin cancer therapy, patients with a delay in diagnosis and advanced disease continue to have a grave prognosis. Due to a variety of barriers, advanced stages of skin cancer are more prominent in rural populations. In order to improve early diagnosis four things are paramount: increased patient participation in prevention methods, establishment of screening guidelines, increased diagnostic accuracy of malignant lesions, and easier access to dermatologists. Recent expansion in smartphone mobile application technology offers simple ways for rural practitioners to address these problems. More than 100,000 health related applications are currently available, with over 200 covering dermatology. This review will evaluate the newest and most useful of those applications offered to enhance the prevention and early diagnosis of skin cancer, particularly in the rural population.

Entities:  

Mesh:

Year:  2015        PMID: 26521532

Source DB:  PubMed          Journal:  W V Med J        ISSN: 0043-3284


  5 in total

1.  Achieving value in mobile health applications for cancer survivors.

Authors:  Sharon Watkins Davis; Ingrid Oakley-Girvan
Journal:  J Cancer Surviv       Date:  2017-03-24       Impact factor: 4.442

2.  Differences in Access to and Use of Electronic Personal Health Information Between Rural and Urban Residents in the United States.

Authors:  Alexandra J Greenberg; Danielle Haney; Kelly D Blake; Richard P Moser; Bradford W Hesse
Journal:  J Rural Health       Date:  2017-01-11       Impact factor: 4.333

3.  Use of Smartphones for Early Detection of Melanoma: Systematic Review.

Authors:  Cédric Rat; Sandrine Hild; Julie Rault Sérandour; Aurélie Gaultier; Gaelle Quereux; Brigitte Dreno; Jean-Michel Nguyen
Journal:  J Med Internet Res       Date:  2018-04-13       Impact factor: 5.428

4.  Multispectral Imaging Algorithm Predicts Breslow Thickness of Melanoma.

Authors:  Szabolcs Bozsányi; Noémi Nóra Varga; Klára Farkas; András Bánvölgyi; Kende Lőrincz; Ilze Lihacova; Alexey Lihachev; Emilija Vija Plorina; Áron Bartha; Antal Jobbágy; Enikő Kuroli; György Paragh; Péter Holló; Márta Medvecz; Norbert Kiss; Norbert M Wikonkál
Journal:  J Clin Med       Date:  2021-12-30       Impact factor: 4.241

5.  The App Behavior Change Scale: Creation of a Scale to Assess the Potential of Apps to Promote Behavior Change.

Authors:  Fiona H McKay; Sarah Slykerman; Matthew Dunn
Journal:  JMIR Mhealth Uhealth       Date:  2019-01-25       Impact factor: 4.773

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.