Published on in Vol 24, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29455, first published .
Optimal Treatment Selection in Sequential Systemic and Locoregional Therapy of Oropharyngeal Squamous Carcinomas: Deep Q-Learning With a Patient-Physician Digital Twin Dyad

Optimal Treatment Selection in Sequential Systemic and Locoregional Therapy of Oropharyngeal Squamous Carcinomas: Deep Q-Learning With a Patient-Physician Digital Twin Dyad

Optimal Treatment Selection in Sequential Systemic and Locoregional Therapy of Oropharyngeal Squamous Carcinomas: Deep Q-Learning With a Patient-Physician Digital Twin Dyad

Journals

  1. Alabi R, Sjöblom A, Carpén T, Elmusrati M, Leivo I, Almangush A, Mäkitie A. Application of artificial intelligence for overall survival risk stratification in oropharyngeal carcinoma: A validation of ProgTOOL. International Journal of Medical Informatics 2023;175:105064 View
  2. Haque M, Choudhury N, Wahid B, Ahmed S, Farzana F, Ali M, Naz F, Siddiqua T, Rahman S, Faruque A, Ahmed T. A predictive modelling approach to illustrate factors correlating with stunting among children aged 12–23 months: a cluster randomised pre-post study. BMJ Open 2023;13(4):e067961 View
  3. Zhang D, Lei M, Wang Y, Zeng P, Hong Y, Cai C. Cause of Death in Patients with Oropharyngeal Carcinoma by Human Papillomavirus Status: Comparative Data Analysis. JMIR Public Health and Surveillance 2023;9:e47579 View
  4. McDonald T, Cheng Y, Graser C, Nicol P, Temko D, Michor F. Computational approaches to modelling and optimizing cancer treatment. Nature Reviews Bioengineering 2023;1(10):695 View
  5. Floricel C, Wentzel A, Mohamed A, Fuller C, Canahuate G, Marai G. Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining. IEEE Transactions on Visualization and Computer Graphics 2023:1 View
  6. Xames M, Topcu T. A Systematic Literature Review of Digital Twin Research for Healthcare Systems: Research Trends, Gaps, and Realization Challenges. IEEE Access 2024;12:4099 View
  7. Katsoulakis E, Wang Q, Wu H, Shahriyari L, Fletcher R, Liu J, Achenie L, Liu H, Jackson P, Xiao Y, Syeda-Mahmood T, Tuli R, Deng J. Digital twins for health: a scoping review. npj Digital Medicine 2024;7(1) View
  8. Ozaki Y, Broughton P, Abdollahi H, Valafar H, Blenda A. Integrating Omics Data and AI for Cancer Diagnosis and Prognosis. Cancers 2024;16(13):2448 View
  9. Mollica L, Leli C, Sottotetti F, Quaglini S, Locati L, Marceglia S. Digital twins: a new paradigm in oncology in the era of big data. ESMO Real World Data and Digital Oncology 2024;5:100056 View
  10. Drummond D, Gonsard A. Definitions and Characteristics of Patient Digital Twins Being Developed for Clinical Use: Scoping Review. Journal of Medical Internet Research 2024;26:e58504 View
  11. Maïzi Y, Arcand A, Bendavid Y. Digital twin in healthcare: Classification and typology of models based on hierarchy, application, and maturity. Internet of Things 2024;28:101379 View
  12. Dorosan M, Chen Y, Zhuang Q, Lam S. In silico evaluation of algorithm-based clinical decision support systems: Protocol for a scoping review (Preprint). JMIR Research Protocols 2024 View
  13. Riahi V, Diouf I, Khanna S, Boyle J, Hassanzadeh H. Digital Twins for Clinical and Operational Decision-Making; a Scoping Review (Preprint). Journal of Medical Internet Research 2023 View
  14. Wentzel A, Attia S, Zhang X, Canahuate G, Fuller C, Marai G. DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer. IEEE Transactions on Visualization and Computer Graphics 2025;31(1):65 View

Books/Policy Documents

  1. Singh L, Kamra L. Information and Software Technologies. View
  2. Subasi A, Subasi M. Artificial Intelligence, Big Data, Blockchain and 5G for the Digital Transformation of the Healthcare Industry. View
  3. Shah N, Nagar J, Desai K, Bhatt N, Bhatt N, Mewada H. Artificial Intelligence‐Enabled Blockchain Technology and Digital Twin for Smart Hospitals. View