The datasets used are relatively small and may not fully represent real-world clinical diversity.

The gap

Consensus across the literature

Supporting evidence — 4 representative gaps

• Deep Learning Based Predictive Analytics Framework for Early Disease Detection Using Multimodal Medical Imaging Data (2026) · doi

  The study uses only secondary data sources and publicly available healthcare datasets, which may not represent diverse populations or real-world clinical scenarios.

  Keywords: uses secondary sources publicly available healthcare datasets represent diverse populations real world clinical scenarios
• Real-time reconstruction of 3D bone models via very-low-dose protocols (2026) · doi

  The datasets generated and analyzed during the current study are not publicly available because this would compromise patient confidentiality and privacy agreements with the data-providing hospitals, which prohibits any form of public distribution.

  Keywords: datasets generated analyzed current publicly available compromise patient confidentiality privacy agreements providing hospitals prohibits form
• From blink to care: smartphone video–based functional analysis and personalized management in pediatric blepharoptosis (2026) · doi

  The datasets generated and analyzed during the current study are not publicly available due to privacy, ethical and legal considerations.

  Keywords: datasets generated analyzed current publicly available privacy ethical legal considerations
• Explainable artificial intelligence for cross domain evaluation of predictive models in multi-disease diagnosis (2026) · doi

  The datasets used are relatively small and may not fully represent real-world clinical diversity.

  Keywords: datasets used relatively small fully represent real world clinical diversity