Research gap
A research opportunity connected to missing evidence, methods, datasets, validation, or translation.
Gap type
Priority
Evidence
Status
Followers
Evidence links
Preparing research brief
The platform is organizing evidence for this page. Linked papers and discussion remain available while the brief is prepared.
The first accepted evidence set for Digital twins in healthcare includes 12 papers. Evidence currently spans 2020 to 2024. Methods represented in the accepted evidence include Qualitative study, Advanced analytics, Virtual simulations. The most specific unresolved gap is unresolved evidence gap around ethical roadblocks. Paper intelligence specifically flags: Ethical roadblocks; Technical roadblocks; Regulatory roadblocks. This gap should be tracked as topic memory, paper intelligence, and future accepted evidence mature.
Current barriers will appear when evidence is linked or reviewed.
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
Shuroug A. Alowais; Sahar S. Alghamdi; Nada Alsuhebany; Tariq Alqahtani; Abdulrahman Alshaya; Sumaya N. Almohareb; Atheer Aldairem; Mohammed Alrashed; Khalid Bin Saleh; Hisham A. Badreldin; Majed S. Al Yami; Shmeylan Al Harbi; Abdulkareem Albekairy · 2023 · BMC Medical Education
Digital twin for healthcare systems
Alexandre Vallée · 2023 · Frontiers in Digital Health
Health digital twins as tools for precision medicine: Considerations for computation, implementation, and regulation
Future work suggestions will appear when the gap has enough evidence.
Possible methods or datasets
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Translational opportunity
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Timeline entries will appear as linked evidence accumulates.
Public discussions linked to this gap will appear here.
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Signal current status
Useful contributions cite evidence, clarify uncertainty, or explain why the object has changed.
Kaushik P. Venkatesh; Marium Raza; Joseph C. Kvedar · 2022 · npj Digital Medicine
Existing attempts will appear when papers are linked.
Limitations will be summarized from reviewed evidence when available.