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