Literature DB >> 25472731

Decision support systems and applications in ophthalmology: literature and commercial review focused on mobile apps.

Isabel de la Torre-Díez1, Borja Martínez-Pérez, Miguel López-Coronado, Javier Rodríguez Díaz, Miguel Maldonado López.   

Abstract

The growing importance that mobile devices have in daily life has also reached health care and medicine. This is making the paradigm of health care change and the concept of mHealth or mobile health more relevant, whose main essence is the apps. This new reality makes it possible for doctors who are not specialist to have easy access to all the information generated in different corners of the world, making them potential keepers of that knowledge. However, the new daily information exceeds the limits of the human intellect, making Decision Support Systems (DSS) necessary for helping doctors to diagnose diseases and also help them to decide the attitude that has to be taken towards these diagnoses. These could improve the health care in remote areas and developing countries. All of this is even more important in diseases that are more prevalent in primary care and that directly affect the people's quality of life, this is the case in ophthalmological problems where in first patient care a specialist in ophthalmology is not involved. The goal of this paper is to analyse the state of the art of DSS in Ophthalmology. Many of them focused on diseases affecting the eye's posterior pole. For achieving the main purpose of this research work, a literature review and commercial apps analysis will be done. The used databases and systems will be IEEE Xplore, Web of Science (WoS), Scopus, and PubMed. The search is limited to articles published from 2000 until now. Later, different Mobile Decision Support System (MDSS) in Ophthalmology will be analyzed in the virtual stores for Android and iOS. 37 articles were selected according their thematic (posterior pole, anterior pole, Electronic Health Records (EHRs), cloud, data mining, algorithms and structures for DSS, and other) from a total of 600 found in the above cited databases. Very few mobile apps were found in the different stores. It can be concluded that almost all existing mobile apps are focused on the eye's posterior pole. Among them, the most intended are for diagnostic of diabetic retinopathy. The primary market niche of the commercial apps is the general physicians.

Entities:  

Mesh:

Year:  2014        PMID: 25472731     DOI: 10.1007/s10916-014-0174-2

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  18 in total

1.  An improved medical decision support system to identify the diabetic retinopathy using fundus images.

Authors:  S Jerald Jeba Kumar; M Madheswaran
Journal:  J Med Syst       Date:  2012-03-06       Impact factor: 4.460

2.  Support system for the preventive diagnosis of hypertensive retinopathy.

Authors:  Daniel Ortíz; Mauricio Cubides; Andrés Suárez; Martha Zequera; Julián Quiroga; Jorge Gómez; Nubia Arroyo
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

3.  A hybrid Decision Support System for the risk assessment of retinopathy development as a long term complication of Type 1 Diabetes Mellitus.

Authors:  Marios Skevofilakas; Konstantia Zarkogianni; Basil G Karamanos; Konstantina S Nikita
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

4.  Spatial modeling and classification of corneal shape.

Authors:  Keith Marsolo; Michael Twa; Mark A Bullimore; Srinivasan Parthasarathy
Journal:  IEEE Trans Inf Technol Biomed       Date:  2007-03

5.  Automated retinal image analysis over the internet.

Authors:  Chia-Ling Tsai; Benjamin Madore; Matthew J Leotta; Michal Sofka; Gehua Yang; Anna Majerovics; Howard L Tanenbaum; Charles V Stewart; Badrinath Roysam
Journal:  IEEE Trans Inf Technol Biomed       Date:  2008-07

6.  Retinal image registration and comparison for clinical decision support.

Authors:  Di Xiao; Janardhan Vignarajan; Jane Lock; Shaun Frost; Mei-Ling Tay-Kearney; Yogesan Kanagasingam
Journal:  Australas Med J       Date:  2012-10-14

Review 7.  Service oriented architecture for clinical decision support: a systematic review and future directions.

Authors:  Salvador Rodriguez Loya; Kensaku Kawamoto; Chris Chatwin; Vojtech Huser
Journal:  J Med Syst       Date:  2014-10-18       Impact factor: 4.460

8.  Computer-based classification of eye diseases.

Authors:  U Rajendra Acharya; N Kannathal; E Y K Ng; Lim Choo Min; Jasjit S Suri
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2006

9.  Decision support system for diabetic retinopathy using discrete wavelet transform.

Authors:  K Noronha; U R Acharya; K P Nayak; S Kamath; S V Bhandary
Journal:  Proc Inst Mech Eng H       Date:  2013-03       Impact factor: 1.617

10.  A decision support framework for automated screening of diabetic retinopathy.

Authors:  P Kahai; K R Namuduri; H Thompson
Journal:  Int J Biomed Imaging       Date:  2006-02-02
View more
  4 in total

1.  Experiences and Results of Applying Tools for Assessing the Quality of a mHealth App Named Heartkeeper.

Authors:  Borja Martínez-Pérez; Isabel de la Torre-Díez; Miguel López-Coronado
Journal:  J Med Syst       Date:  2015-09-07       Impact factor: 4.460

2.  A Proposed Solution and Future Direction for Blockchain-Based Heterogeneous Medicare Data in Cloud Environment.

Authors:  Harleen Kaur; M Afshar Alam; Roshan Jameel; Ashish Kumar Mourya; Victor Chang
Journal:  J Med Syst       Date:  2018-07-10       Impact factor: 4.460

3.  A mobile decision support system for red eye diseases diagnosis: experience with medical students.

Authors:  Marta Manovel López; Miguel Maldonado López; Isabel de la Torre Díez; José Carlos Pastor Jimeno; Miguel López-Coronado
Journal:  J Med Syst       Date:  2016-05-03       Impact factor: 4.460

Review 4.  Android mobile applications in eye care.

Authors:  Siddharth Karuppasamy Karthikeyan; Rajesh Thangarajan; Nagarajan Theruvedhi; Krithica Srinivasan
Journal:  Oman J Ophthalmol       Date:  2019 May-Aug
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.