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Quality evaluation of commercially available healthcare applications for prostate cancer management

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Abstract

Many prostate cancer health applications are available on the software market. The main software solutions focus on helping patients cope with prostate cancer, helping urologists manage medical records and helping radiologists interpret multi-parametric magnetic resonance imaging. Some of these applications for prostate cancer make use of artificial intelligence. It is believed that artificial intelligence will play a key role in facilitating the clinical practice of health professionals and providing psychological support to patients. This study aims to assess the quality of commercially available applications for prostate cancer management.

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References

  1. Aceto G, Persico V, Pescapé A (2018) The role of Information and communication technologies in healthcare: taxonomies, perspectives, and challenges. J Netw Comput Appl 107:125–154

    Article  Google Scholar 

  2. Algeria-Global Cancer Observatory (2020) (GLOBOCAN 2020): International agency for research on cancer. Available from: https://gco.iarc.fr/today/home

  3. American Cancer Society, ProstateCancer Risk Factors (2020) Cancer.org. https://www.cancer.org/cancer/prostate-cancer/causes-risks-prevention/risk-factors.html (Accessed)

  4. App download and usage statistics (2021) https://www.businessofapps.com/data/app-statistics/, (Accessed 2021)

  5. Bohme C, von Osthoff MB, Frey K, Hubner J (2018) Qualitative evaluation of mobile cancer apps with particular attention to the target group, content, and advertising. J Cancer Res Clin Oncol 144(1):173–181

    Article  Google Scholar 

  6. Brouard B, Bardo P, Bonnet C, Mounier N, Vignot M, Vignot S (2016) Mobile applications in oncology: is it possible for patients and healthcare professionals to easily identify relevant tools? Ann Med 48(7):509–515

    Article  Google Scholar 

  7. Burton RJ, Albur M, Eberl M, Cuff SM (2019) Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections. BMC Med Inform Decis Mak 19(1):171

    Article  Google Scholar 

  8. Chen J, Remulla D, Nguyen JH, Dua A, Liu Y, Dasgupta P, Hung AJ (2019) Current status of artificial intelligence applications in urology and their potential to influence clinical practice, vol 124. Erratum in: BJU Int. 2020 ;126(5):647

  9. Chen J, Remulla D, Nguyen JH, Aastha D, Liu Y, Dasgupta P et al (2019) Current status of artificial intelligence applications in urology and their potential to influence clinical practice. BJU Int 124(4):567–577

    Article  Google Scholar 

  10. Effiok EE, Liu E, Yu HQ, Hitchcock J (2015) A prostate cancer care process example of using data from internet of things. In: 2015 IEEE International conference on computer and information technology; ubiquitous computing and communications; dependable, autonomic and secure computing; pervasive intelligence and computing, pp 2303–2308. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.340

  11. Gerke S, Minssen T, Cohen G (2020) Ethical and legal challenges of artificial intelligence-driven healthcare. Artif Intell Healthcare, pp 295–336

  12. Growing prevalence of healthcare mobile apps in the UK (2022) https://www.redbytes.co.uk/mobile-health-app-usage-statistics, (Accessed 2022)

  13. Han S, Shanafelt TD, Sinsky CA, Awad KM, Dyrbye LN, Fiscus LC, Trockel M, Goh J (2019) Estimating the attributable cost of physician burnout in the United States. Ann Intern Med 170(11):784–790

    Article  Google Scholar 

  14. ISLAM Md, NOORUDDIN S, KARRAY F et al (2022) Internet of things device capabilities, architectures, Protocols, and smart applications in Healthcare Domain: A Review. arXiv:2204.05921

  15. Islam MM, Rahaman A, Islam MR (2020) Development of smart healthcare monitoring system in IoT environment. SN Comput Sci 1:185

    Article  Google Scholar 

  16. Jamnadass E, Rai BP, Veneziano D, Tokas T, Rivas JG, Cacciamani G, Somani B (2020) Do prostate cancer-related mobile phone apps have a role in contemporary prostate cancer management? A systematic review by EAU young academic urologists (YAU)urotechnology group. World J Urol 38(10):2411–2431

    Article  Google Scholar 

  17. Maurer T, Eiber M (2019) Practice changing for prostate cancer: a vision of the future. Nat Rev Urol 16(2):71–72

    Article  Google Scholar 

  18. McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD et al (2021) The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Syst Rev 10:89

    Article  Google Scholar 

  19. McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD et al (2021) The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Systematic Reviews, pp 10–89

  20. Meskò B, Drobni Z, Bényei E, Gergely B, Gyorffy Z (2017) Digital health is a cultural transformation of traditional healthcare. Mhealth 3:38.13

    Article  Google Scholar 

  21. Nabi J, Cone EB, Vasavada A, Sun M, Kilbridge KL, Kibel AS, Berry DL, Trinh QD (2020) Mobile health app for prostate cancer patients on androgen deprivation therapy: Qualitative usability study. JMIR MHealthand UHealth,8(11)

  22. Nasr M, Islam MM, Shehata S, Karray F, Quintana Y (2021) Smart healthcare in the Age of AI: Recent advances, challenges, and Future Prospects. IEEE Access 9:145248–145270

    Article  Google Scholar 

  23. Owens OL, Beer JM, Reyes LI, Thomas TL (2019) Systematic review of commercially available mobile phone applications for prostate cancer education. American Journal of Men’s Health,13(1)

  24. Owens OL, Beer JM, Reyes LI, Thomas TL (2019) Systematic review of commercially available mobile phone applications for prostate cancer education. Am J Men’s Health 13(1):1557988318816912

    Article  Google Scholar 

  25. Pereira-Azevedo N, Osorio L, Fraga A, Roobol MJ (2017) Rot-terdam prostate cancer risk calculator: development and usability testing of the mobile phone app. JMIR Cancer 3(1):e1

    Article  Google Scholar 

  26. Rodrigues R (2020) Legal and human rights issues of AI: gaps, challenges and vulnerabilities. J Respons Technol 4:100005

    Article  Google Scholar 

  27. Salonen A, Ryhänen AM, Leino-Kilpi H (2014) Educational benefits of Internet and computer-based programmes for prostate cancer patients: A systematic review. Patient Educ Couns 94(1):10–9

    Article  Google Scholar 

  28. Secinaro S, Calandra D, Secinaro A et al (2021) The role of artificial intelligence in healthcare: a structured literature review. BMC Med Inform Decis Mak 21:125

    Article  Google Scholar 

  29. Spanakis EG, Yang P, Deng Z, Sakkalis V, Kafetzopoulos D, Marias K, Tsiknakis MN, Dong F (2014) MyHealthAvatar: personalized and empowerment health services through Internet of Things technologies. In: 4th International conference on wireless mobile communication and healthcare

  30. Stacey D, Légaré F, Lewis K, Barry MJ, Bennett CL, Eden KB et al (2017) Decision aids for people facing health treatment or screening decisions. Cochrane Database of Syst Rev, p 4

  31. Stoyanov S, Hides L, Kavanagh D, Zelenko O, Tjondronegoro D, Mani M (2015) Mobile App rating scale: A new tool for assessing the quality of health mobile Apps. JMIR Mhealth Uhealth 3(1):e27

    Article  Google Scholar 

  32. Sundberg K, Lindström V, Petersson LM, Langius-eklöf A (2021) Supporting health literacy using an interactive app for symptom management during radiotherapy for prostate cancer. Patient Educ Couns 104(2):381–386

    Article  Google Scholar 

  33. Sundberg K, Wengstrom Y, Blomberg K, Halleberg-Nyman M, Frank C, Langius-eklof A (2017) Early detection and management of symptoms using an interactive smartphone application (Interaktor) during radiotherapy for prostate cancer. Support Care Cancer 25(7):2195–2204

    Article  Google Scholar 

  34. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F (2021) Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians

  35. Terhorst Y, Philippi P, Sander LB, Schultchen D, Paganini S, Bardus M, Santo K, Knitza J, Machado GC, Schoeppe S, Bauereiß N, Portenhauser A, Domhardt M, Wialter B, Krusche M, Baumeister H, Messner EM (2020) Validation of the Mobile Application Rating Scale (MARS). PLoS ONE 15(11 November)):e0241480

    Article  Google Scholar 

  36. Wang H, Chen L, Zhou J, Tai S, Liang C (2020) Development of mobile application for dynamically monitoring the risk of prostate cancer and clinicopathology. Cancer Manag Res 12:12175–12184

    Article  Google Scholar 

  37. Yang X, Wang Y, Byrne R, Schneider G, Yang S (2019) Concepts of artificial intelligence for computer-assisted drug discovery or chemical reviews. Chem Rev 119(18):10520–94

    Article  Google Scholar 

  38. iSalus Healthcare (2021) 2021 EHR BUYER’S GUIDE FOR UROLOGISTS: An insider’s guide to purchasing urology-specific EHR and billing software

  39. (2022). https://www.england.nhs.uk/shared-decision-making/ .(Accessed in 2022)

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Authors and Affiliations

  1. Abdelhamid Mehri Constantine 2 University, MISC Laboratory, Constantine, Algeria

    Kenza Bouarroudj

  2. Abdelhamid Mehri Constantine 2 University, LISIA Laboratory, Constantine, Algeria

    Ilham Kitouni

  3. Abdelhamid Mehri Constantine 2 University, Constantine, Algeria

    Abdelmouhsen Lechekhab & Zinelabidine Leghelimi

  4. Urologist surgeon, Constantine, Algeria

    Issam Kara

Authors
  1. Kenza Bouarroudj
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  2. Ilham Kitouni
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  3. Abdelmouhsen Lechekhab
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  4. Zinelabidine Leghelimi
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  5. Issam Kara
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Correspondence to Kenza Bouarroudj.

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Bouarroudj, K., Kitouni, I., Lechekhab, A. et al. Quality evaluation of commercially available healthcare applications for prostate cancer management. Multimed Tools Appl 82, 31793–31819 (2023). https://doi.org/10.1007/s11042-023-15601-9

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  • DOI: https://doi.org/10.1007/s11042-023-15601-9

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