Table 1.
A selection of digital twins review papers.
| Application Area | Key Contributes | Gaps/Opportunities Identified | Ref. |
|---|---|---|---|
| General Applications | Reviews covering concepts, key enabling technologies, and implementation of digital twins, including challenges and prospects across multiple domains | The need for standardization, data availability, processing power, interdisciplinary collaboration, and development of reference frameworks and performance metrics | [12,13,14,15] |
| Smart Manufacturing | Reviews digital twins integration in Industry 4.0 and digital supply chains and their optimization potential | The need for design frameworks, early detection of design flaws, clarity in research focus, and organized research environment | [16,17] |
| Smart Grid and Smart City | Review of digital twins in energy management and infrastructure durability | Challenges in data management, analysis, real-time interaction, and effective distributed sensing updating | [18,19] |
| Agriculture | Current trends, roadmap, and open questions in digital twins for agriculture | The need for automated decision-making support and complex examples | [20,21,22] |
| Smart Healthcare | Review of digital twin applications in precision medicine, clinical trial design, hospital operations, and platforms supporting mobile health applications | Technical, regulatory, and ethical challenges in healthcare digital twins | [23,24] |
| Education | Review of digital twins in remote and virtual laboratories | Integration of digital twin concepts into educational systems | [25] |