Journal ArticleDOI
A review on smartphone skin cancer diagnosis apps in evaluation and benchmarking: coherent taxonomy, open issues and recommendation pathway solution
A. A. Zaidan,B. B. Zaidan,Osamah Shihab Albahri,M. A. Alsalem,Ahmed Shihab Albahri,Qahtan M. Yas,M. Hashim +6 more
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TLDR
With the exception of the 89 papers reviewed, the new recommendation pathway solution was described in order to improve the measurement process for smartphone-based skin cancer diagnosis applications.Abstract:
This research aims to review the attempts of researchers in response to the new and disruptive technology of skin cancer applications in terms of evaluation and benchmarking, in order to identify the research landscape from the literature into a cohesive taxonomy. An extensive search was conducted for articles dealing with ‘skin cancer’, ‘apps’ and ‘smartphone’ or ‘mHealth’ in different variations to find all the relevant articles in three main databases, namely, “Web of Science”, “Science Direct”, and “IEEE explore”. These databases are considered wide enough to cover medical and technical literature. The final classification scheme outcome of the dataset contained 110 articles that were classified into four classes: development and design; analytical; evaluative and comparative; and review and survey studies. Afterwards, another filtering process was achieved based on the evaluation criteria error rate within the dataset, time complicity and reliability, which are used in skin cancer applications. The final classification scheme outcome of the dataset contained 89 articles distributed in mapping and crossover with four sections concluded from 110 articles. Development and design studies, analytical studies, evaluative and comparative studies and articles of reviews and surveys comprised of 48.3146%, 22.4719%, 16.8539% (15), and 12.3595% (11) of the reviewed articles, respectively. The basic features of this evolving approach were identified in these aspects. We also determined open issues in terms of evaluation and benchmarking that hamper the utility of this technology. Furthermore, with the exception of the 89 papers reviewed, the new recommendation pathway solution was described in order to improve the measurement process for smartphone-based skin cancer diagnosis applications.read more
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Journal ArticleDOI
Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects.
Osamah Shihab Albahri,A. A. Zaidan,Ahmed Shihab Albahri,B. B. Zaidan,Karrar Hameed Abdulkareem,Z. T. Al-qaysi,A.H. Alamoodi,A. M. Aleesa,M. A. Chyad,R M Alesa,L C Kem,Muhammad Modi Lakulu,A B Ibrahim,Nazre Abdul Rashid +13 more
TL;DR: This study proposes a detailed methodology for the evaluation and benchmarking of AI techniques used in all classification tasks of COVID-19 medical images as future directions, and presents the development of the MCDA approach for benchmarking AI classification techniques on the basis of the integrated analytic hierarchy process.
Journal ArticleDOI
Smart Home-based IoT for Real-time and Secure Remote Health Monitoring of Triage and Priority System using Body Sensors: Multi-driven Systematic Review
Mohammed Talal,A. A. Zaidan,B. B. Zaidan,Ahmed Shihab Albahri,A.H. Alamoodi,Osamah Shihab Albahri,M. A. Alsalem,Chen Kim Lim,Kian Lam Tan,W. L. Shir,K. I. Mohammed +10 more
TL;DR: A map matching for both taxonomies is developed in this study to determine the novel risks and benefits of IoT-based smart home security for real-time remote health monitoring within client and server sides in telemedicine applications.
Journal ArticleDOI
Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods
Mazin Abed Mohammed,Karrar Hameed Abdulkareem,Alaa S. Al-Waisy,Salama A. Mostafa,Shumoos Al-Fahdawi,Ahmed M. Dinar,Wajdi Alhakami,Abdullah Baz,Mohammed Nasser Al-Mhiqani,Hosam Alhakami,Nureize Arbaiy,Mashael S. Maashi,Ammar Awad Mutlag,Begona Garcia-Zapirain,Isabel de la Torre Díez +14 more
TL;DR: The study results revealed that the benchmarking and selection problems associated with COVID19 diagnosis models can be effectively solved using the integration of Entropy and TOPSIS.
Journal ArticleDOI
Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies
Karoline Freeman,Karoline Freeman,Jacqueline Dinnes,Jacqueline Dinnes,Naomi Chuchu,Naomi Chuchu,Yemisi Takwoingi,Yemisi Takwoingi,Susan Bayliss,Rubeta N Matin,Abhilash Jain,Abhilash Jain,Fiona M Walter,Hywel C Williams,Jonathan J Deeks,Jonathan J Deeks +15 more
TL;DR: Current algorithm based smartphone apps cannot be relied on to detect all cases of melanoma or other skin cancers and the current regulatory process for awarding the CE marking for algorithm based apps does not provide adequate protection to the public.
Journal ArticleDOI
A Systematic Review for Enabling of Develop a Blockchain Technology in Healthcare Application: Taxonomy, Substantially Analysis, Motivations, Challenges, Recommendations and Future Direction.
TL;DR: A review to substantially analyse and map the research landscape of current technologies, mainly the use of blockchain in healthcare applications, into a coherent taxonomy and provides identified motivations, open challenges and recommendations on the useof blockchain in Healthcare applications.
References
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