External validation is required before the model can be applied in clinical settings
Research gap analysis derived from 5 medicine papers in our local library.
The gap
External validation is required before the model can be applied in clinical settings.
Evidence profile
Sourced from the open questions and future work and limitations of the source papers, classified as validation gap, spanning 4 journals.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 6 representative gaps
- Interpretable machine learning for prognostic prediction in critically ill patients with coronary artery disease: a multicenter study (2026) · Frontiers in Medicine · doi
While external validation was performed using MIMIC-III database, further validation across additional multicenter datasets and diverse clinical populations would strengthen generalizability claims.
validation gapopen questionsevidence 5/5Keywords: validation external performed using mimic database further across additional multicenter datasets diverse clinical populations strengthen - Prognostic model for osteoarthritis combining imaging and clinical biomarkers (2026) · Frontiers in Medicine · doi
Multicenter, large-sample external validation including temporal validation with different follow-up periods is needed to verify the model's performance in diverse populations and improve clinical applicability.
validation gapfuture workevidence 4/5Keywords: validation multicenter large sample external including temporal different follow periods needed verify model performance diverse - Diagnostic importance of serum markers in lung cancer (2026) · Molecular Medicine Reports · doi
There is an imperative need for robust multicenter validation of single- and multi-analyte panels in large-scale prospective cohorts before clinical translation.
validation gapfuture workevidence 4/5Keywords: there imperative need robust multicenter validation single multi analyte panels large scale prospective cohorts clinical - Hospital Triage Optimization: Evaluation of Machine Learning Models for Blood Pressure Estimation to Enhance Emergency Response in Colombia (2026) · Journal of Hunan University Natural Sciences · doi
In future research, we focus on strengthening clinical robustness through external validation, multisite studies, and diverse subject cohorts.
validation gapfuture workevidence 3/5Keywords: future focus strengthening clinical robustness external validation multisite diverse subject cohorts - Hospital Triage Optimization: Evaluation of Machine Learning Models for Blood Pressure Estimation to Enhance Emergency Response in Colombia (2026) · Journal of Hunan University Natural Sciences · doi
Clinical validation requirements demand external evaluation beyond the subject-wise cross-validation protocol used in this study.
validation gaplimitationsevidence 3/5Keywords: validation clinical requirements demand external evaluation beyond subject wise cross protocol used - Machine learning-based predictive model for postoperative delirium of elderly patients with coronary heart disease undergoing non-cardiac surgery: a retrospective cohort study (2026) · Frontiers in Psychiatry · doi
External validation is required before the model can be applied in clinical settings.
validation gapfuture workevidence 3/5Keywords: external validation required model applied clinical settings
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