ReviewFrontiers in medicine2023
The potential of the Medical Digital Twin in diabetes management: a review.
Review in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07212075 (Precision Subclassification of Mental Health in Diabetes), which is not on this map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Precision Subclassification of Mental Health in Diabetes: Digital Twins for Precision Mental Health to Track Subgroups
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Advancing Health Care With Digital Twins: Meta-Review of Applications and Implementation Challenges.Journal of medical Internet research · 2025Pooled it
- Data, Process, and Data-Driven Representations of Digital Twins in Diabetes: Scoping Review.JMIR diabetes · 2026Review
- Human-in-the-loop AI predictive digital twin to extend virtual precision diabetes care between visits.npj health systems · 2026Article
- Digital Twin Monitoring System for Chronic Disease Patients: A Simulation-Based Proof of Concept.Computational and structural biotechnology journal · 2026Article
- Cross-fusion of digital twins and artificial intelligence in diabetes: from mechanistic elucidation to full-cycle precision management.Frontiers in endocrinology · 2026Review
- Multi-omic enriched blood-derived digital signatures reveal mechanistic and confounding disease clusters for differential diagnosis.Frontiers in network physiology · 2026Article
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2025Review
- Development of a Hospital-at-Home Digital Twin for Patients With Frailty: Scoping Review.Journal of medical Internet research · 2025Article
- Cardiometabolic risk reduction with digital twinning in patients with type 2 diabetes.Cardiovascular diabetology. Endocrinology reports · 2025Review
- Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine.FEBS open bio · 2025Review
- Hospital at home digital twin for the management of patients with frailty: a scoping review protocol.BMJ open · 2025Article
- The Era of Preemptive Medicine: Developing Medical Digital Twins through Omics, IoT, and AI Integration.JMA journal · 2025Review
- Evaluating CFIR 2.0 in identifying digital twin implementation challenges in healthcare: bridging the dichotomy between engineering and healthcare communities.Frontiers in digital health · 2025Article
- Advancing rare disease therapeutics through digital twins: Opportunities in drug development and precision dosing.Computational and structural biotechnology journal · 2025Review
- Beyond the gender data gap: co-creating equitable digital patient twins.Frontiers in digital health · 2025Review
- Artificial Intelligence in Medical Metaverse: Applications, Challenges, and Future Prospects.Current medical science · 2024Review
- Enhancing Ophthalmic Care: The Transformative Potential of Digital Twins in Healthcare.Cureus · 2024Review
- Digital Twin of the Female Pelvic Floor.Open journal of obstetrics and gynecology · 2024Article
- The effectiveness of digital twins in promoting precision health across the entire population: a systematic review.NPJ digital medicine · 2024Review
- Personalized Diabetes Management with Digital Twins: A Patient-Centric Knowledge Graph Approach.Journal of personalized medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetes is a chronic prevalent disease that must be managed to improve the patient's quality of life. However, the limited healthcare management resources compared to the large diabetes mellitus (DM) population are an obstacle that needs modern information technology to improve. Digital twin (DT) is a relatively new approach that has emerged as a viable tool in several sectors of healthcare, and there have been some publications on DT in disease management. The systematic summary of the use of DTs and its potential applications in DM is less reported. In this review, we summarized the key techniques of DTs, proposed the potentials of DTs in DM management from different aspects, and discussed the concerns of this novel technique in DM management.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.