Skip to content
DraconiticResearch
Search Sources API
203,948 studies31 sourcesUpdated 5 min ago
Peer-reviewedCC BYFrontiers in medicine

AI-driven quality enhancement of medical datasets: a closed-loop framework of synthesis, annotation, quality control, and integration

  • Tao Tian1
  • Siyuan Zhang1
  • Xuchen Yang1
  • Rui Shi1
  1. 1Department of IT & Data Management, West China Hospital, Sichuan University , ,
Read full textPDFCite

Related

  1. Fragmentation and integration in long-term care for older adults living with dementia in mainland China: a polycentric governance framework synthesis
    Hong Sun, Xinnan Yu, Haoyu Zheng +2
    Frontiers in Public HealthPeer-reviewedCC BY 4.0Full textEpidemiology & public healthFrontiersCrossrefDOAJ
  2. A Semi-Automated Interactive Annotation Framework for Intraoperative Neurosurgical Ultrasound: A Proof-of-Concept Study
    R. Bertani, S. Bahadir, M. Y. Ferreira +3
    medRxivPreprintAll rights reservedFull textMedical imaging & radiologymedRxiv
  3. Spatial information reconstruction framework for power grid datasets without geographic coordinates
    Jaiyong Lee, Daekyung Lee, Heetae Kim
    Scientific ReportsPeer-reviewedCC BYFull textGeneral medicineDOAJ
  4. A mathematical framework for pre-mass detection of renal tissue anomalies from computed tomography scans: exploration of a biomechanical signature based on enhancement kinetics
    Amina El Ghazi, Abdessadek Aaroud, Abdelmajid Bessate
    Quantitative imaging in medicine and surgeryPeer-reviewedCC BY-NC-NDFull textMedical imaging & radiologyEurope PMC
  5. Chemistry-medicine interdisciplinary integration in medical education: a narrative review of teaching reform, evidence synthesis, and international perspectives.
    Abliz Abdurahman, Xiaoli Ma, Yu Zhang +1
    Frontiers in medicinePeer-reviewedCC BYFull textEpidemiology & public healthEurope PMC

Cite

BibTeXRIS
BibTeX
@article{tian2026aidriven,
  title = {{AI-driven quality enhancement of medical datasets: a closed-loop framework of synthesis, annotation, quality control, and integration}},
  author = {Tao Tian and Siyuan Zhang and Xuchen Yang and Rui Shi},
  journal = {Frontiers in medicine},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13669839},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - AI-driven quality enhancement of medical datasets: a closed-loop framework of synthesis, annotation, quality control, and integration
AU  - Tao Tian
AU  - Siyuan Zhang
AU  - Xuchen Yang
AU  - Rui Shi
PY  - 2026
DA  - 2026/10/19
JO  - Frontiers in medicine
UR  - https://europepmc.org/article/PMC/PMC13669839
SN  - 2296-858X
ER  -