How many papers support this gap analysis?

3 papers from our local library contribute to this synthesis, with an average publication year of 2026.

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computer_science3 papersavg year 2026weak evidence

Healthcare organizations should set rules for how AI

Research gap analysis derived from 3 computer_science papers in our local library.

The gap

Healthcare organizations should set rules for how AI systems should be used in clinical workflows to maintain clear accountability structures.

Evidence profile

Sourced from the future work and open questions and limitations of the source papers, classified as application gap, spanning 3 journals.

Research trend

Established — well-defined area with open sub-problems.

Supporting evidence — 4 representative gaps

Artificial Intelligence in Medical Imaging: A Critical Review of Methods, Applications, and Clinical Implementation (2026) · Inspire Health Journal · doi
The effective incorporation of AI systems into clinical practice will necessitate sustained collaboration between clinicians and engineers, the creation of equitable datasets for underrepresented pathologies, and real-world validation via regulatory processes and scalable frameworks.
application gapfuture workevidence 5/5
Keywords: effective incorporation systems clinical practice necessitate sustained collaboration clinicians engineers creation equitable datasets underrepresented pathologies
Artificial intelligence for traumatic brain injury imaging: a translational review from algorithm development to clinical implementation (2026) · Frontiers in Neurology · doi
Need to systematically address barriers of technical robustness, regulatory requirements, economic constraints, and human factors to successfully translate AI into clinical practice.
application gapopen questionsevidence 5/5
Keywords: need systematically address barriers technical robustness regulatory requirements economic constraints human factors successfully translate clinical
Blockchain meets AI in healthcare: a review of convergent technologies for digital health transformation (2026) · Frontiers in Blockchain · doi
AI faces challenges in management costs, quality of services, efficiency of health supply chain, and exchange of information between different healthcare systems.
application gaplimitationsevidence 5/5
Keywords: faces challenges management costs quality services efficiency health supply chain exchange information different healthcare systems
Artificial Intelligence in Medical Imaging: A Critical Review of Methods, Applications, and Clinical Implementation (2026) · Inspire Health Journal · doi
Healthcare organizations should set rules for how AI systems should be used in clinical workflows to maintain clear accountability structures.
application gapfuture workevidence 4/5
Keywords: healthcare organizations rules systems used clinical workflows maintain clear accountability structures

Questions about this gap

Healthcare organizations should set rules for how AI systems should be used in clinical workflows to maintain clear accountability structures. This is supported by 4 representative gap statements extracted from 3 papers, rated weak evidence.

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