This paper is in the following e-collection/theme issue:

New Methods (956) Focus Groups and Qualitative Research for Human Factors Research (870) Innovations and Technology in Cancer Care (429)

Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22034, first published .
Status and Recommendations of Technological and Data-Driven Innovations in Cancer Care: Focus Group Study

Status and Recommendations of Technological and Data-Driven Innovations in Cancer Care: Focus Group Study

Status and Recommendations of Technological and Data-Driven Innovations in Cancer Care: Focus Group Study

Authors of this article:

Haridimos Kondylakis1 Author Orcid Image ;   Cristian Axenie2 Author Orcid Image ;   Dhundy (Kiran) Bastola3 Author Orcid Image ;   Dimitrios G Katehakis1 Author Orcid Image ;   Angelina Kouroubali1 Author Orcid Image ;   Daria Kurz4 Author Orcid Image ;   Nekane Larburu5 Author Orcid Image ;   Iván Macía5 Author Orcid Image ;   Roma Maguire6 Author Orcid Image ;   Christos Maramis7 Author Orcid Image ;   Kostas Marias1 Author Orcid Image ;   Philip Morrow8 Author Orcid Image ;   Naiara Muro5 Author Orcid Image ;   Francisco José Núñez-Benjumea9 Author Orcid Image ;   Andrik Rampun10 Author Orcid Image ;   Octavio Rivera-Romero11 Author Orcid Image ;   Bryan Scotney8 Author Orcid Image ;   Gabriel Signorelli9 Author Orcid Image ;   Hui Wang12 Author Orcid Image ;   Manolis Tsiknakis1 Author Orcid Image ;   Reyer Zwiggelaar13 Author Orcid Image
Article Authors Cited by (11) Tweetations (9) Metrics

Journals

  1. Flaris A, Konstantinidis T. Letter to the editor: is total psoas muscle area at L3 truly representative of its volume?. The British Journal of Radiology 2022;95(1135) View
  2. Axenie C, Bauer R, Martínez M. The Multiple Dimensions of Networks in Cancer: A Perspective. Symmetry 2021;13(9):1559 View
  3. Kurz D, Sánchez C, Axenie C. Data-Driven Discovery of Mathematical and Physical Relations in Oncology Data Using Human-Understandable Machine Learning. Frontiers in Artificial Intelligence 2021;4 View
  4. Zhang F, Yang P, Chen Y, Wang R, Liu B, Wang J, Yuan M, Zhang L. Bibliometric and visual analysis of fecal microbiota transplantation research from 2012 to 2021. Frontiers in Cellular and Infection Microbiology 2022;12 View
  5. Akter S, Sultana S, Gunasekaran A, Bandara R, Miah S. Tackling the global challenges using data-driven innovations. Annals of Operations Research 2024;333(2-3):517 View
  6. Ayhan Fidancıoğlu N, Kocamaz D, Yılmaz R, Bayramlar K. Kanser Rehabilitasyonunda Kanıta Dayalı Teknolojik Uygulamaların Durumu ve Öneriler: Derleme Makalesi. Türkiye Sağlık Bilimleri ve Araştırmaları Dergisi 2024;7(1):1 View
  7. Oyovwi M, Ohwin E, Rotu R, Olowe T. Internet-Based Abnormal Chromosomal Diagnosis During Pregnancy Using a Noninvasive Innovative Approach to Detecting Chromosomal Abnormalities in the Fetus: Scoping Review. JMIR Bioinformatics and Biotechnology 2024;5:e58439 View
  8. Song M, Elson J, Bastola D. A Review of Digital Age Transformation in the Past 25 Years (1999-2023): Enhancing Patient-Physician Health Communication Model (Preprint). Journal of Medical Internet Research 2024 View

Books/Policy Documents

  1. Kondylakis H, Kouroubali A, Katehakis D. Pervasive Computing Technologies for Healthcare. View
  2. Komalasari R. Federated Learning and Privacy-Preserving in Healthcare AI. View