An architecture of data collection, storage, processing
Research gap analysis derived from 3 medicine papers in our local library.
The gap
An architecture of data collection, storage, processing, algorithms and integration in the clinical system and validation of AI support is necessary.
Evidence profile
Sourced from the inline gaps and future work of the source papers, classified as methodology gap, spanning 3 journals. Those papers have been cited 1 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- FADOI official position on artificial intelligence in internal medicine (2026) · Italian Journal of Medicine · doi
The paper references the need for bridging the gap between AI developers and implementers in health AI, but does not provide specific strategies or frameworks for achieving this integration in clinical practice.
methodology gapinline gapsevidence 5/5Keywords: references need bridging developers implementers health provide specific strategies frameworks achieving integration clinical practice - Artificial intelligence in acute and critical care: current challenges and strategic solutions (2026) · Frontiers in Public Health · cited 1× · doi
Fine-tuning combined with retrieval-augmented generation for error-detection and self-correction capabilities in AI systems for acute and critical care requires systematic evaluation and validation. The paper identifies this as a needed approach but does not specify implementation protocols, benchmark datasets, or performance metrics for testing these combined techniques in complex clinical scenarios.
methodology gapinline gapsevidence 5/5Keywords: fine-tuning retrieval-augmented generation error-detection self-correction acute critical care - Application of machine learning in the research progress of post-kidney transplant rejection (2026) · World Journal of Transplantation · doi
An architecture of data collection, storage, processing, algorithms and integration in the clinical system and validation of AI support is necessary.
methodology gapfuture workevidence 4/5Keywords: architecture collection storage processing algorithms integration clinical system validation support necessary
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