Digital Twins and Generative AI in Diagnostics
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 107
Special Issue Editor
Interests: generative AI; digital twins; cardiovascular disease
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The convergence of digital twins and generative AI represents a ground-breaking frontier in medical research and clinical practice. A digital twin is a dynamic, virtual model of a physical entity such as a patient, organ, or cohort. Typically, such models are created using data from electronic health records, wearable devices, or clinical imaging. This technology offers unprecedented opportunities for personalized medicine, allowing for the precise modeling of individual patient physiology, prediction of disease progression, and tailoring of treatment strategies. Generative AI, with its ability to create new data, simulations, and models, further enhances the potential of digital twins. This technology can accelerate drug discovery, improve diagnostic accuracy, and enable the development of highly personalized therapeutic approaches.
This Special Issue aims to explore the synergy between digital twins and generative AI in medicine, showcasing cutting-edge research, novel applications, and theoretical advancements. We seek contributions that address a broad range of topics, including, but not limited to, the creation and validation of digital twins, the integration of generative AI into clinical workflows, ethical and regulatory considerations, and case studies demonstrating the real-world impact of these technologies.
We invite researchers and clinicians to submit original research, reviews, perspectives, or case studies applying personalized simulations and generative models to clinical data.
Dr. Sean Benson
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- digital twins
- electronic health record
- generative AI
- personalized medicine
- clinical practice
- simulation
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