Prospective multi-center validation is still needed before this approach can be adopted into routine clinical practice.
Research gap analysis derived from 3 computer_science papers in our local library.
The gap
Prospective multi-center validation is still needed before this approach can be adopted into routine clinical practice.
Consensus across the literature
Clustered from 3 gap mentions across 3 papers via embedding cosine ≥ 0.62.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Stratify severe risk in children with respiratory syncytial virus pneumonia—A retrospective study based on machine learning and SHAP interpretation (2026) · doi
Prospective, multi-center investigations are warranted to confirm findings and evaluate the generalizability and clinical utility of the proposed model across different healthcare settings.
Keywords: prospective multi center investigations warranted confirm evaluate generalizability clinical utility proposed model across different healthcare - Developing a practical machine learning model to predict post implantation syndrome after endovascular aneurysm repair (2026) · doi
Future multicenter prospective studies with external validation, comprehensive perioperative data collection, and stricter exclusion criteria are needed to confirm the findings.
Keywords: future multicenter prospective external validation comprehensive perioperative collection stricter exclusion criteria needed confirm - A deep learning model based on multiphase DCE-MRI for preoperative prediction of Ki-67 expression in breast cancer (2026) · doi
Prospective multi-center validation is still needed before this approach can be adopted into routine clinical practice.
Keywords: prospective multi center validation still needed approach adopted routine clinical practice
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