Human in the loop artificial intelligence in healthcare: applications, outcomes, and implementation challenges
BACKGROUND: The integration of artificial intelligence in healthcare has transformed clinical practice and research methodologies. However, concerns regarding algorithmic accountability, interpretability, and safety have necessitated human oversight in AI systems. Human in the loop artificial intelligence represents a collaborative paradigm where human expertise and machine intelligence converge to enhance decision making while maintaining ethical standards and clinical safety. AIM: This review
Record details
Published: 19 February 2026
Source: OpenAlex
Category: Research
Topics: Safety & alignment · Healthcare · Transparency
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Emulating Clinician Cognition via Self-Evolving Deep Clinical Research
arXiv · 11 March 2026
Adoption and Effectiveness of AI-Based Anomaly Detection for Cross Provider Health Data Exchange
arXiv · 19 March 2026
Behavioural feasible set: Value alignment constraints on AI decision support
arXiv · 22 March 2026
Interpretable Clustering: A Survey
OpenAlex · 16 January 2026
A Proposed Biomedical Data Policy Framework to Reduce Fragmentation, Improve Quality, and Incentivize Sharing in Indian Healthcare in the era of Artificial Intelligence and Digital Health
arXiv · 13 April 2026
A Framework for Longitudinal Health AI Agents
arXiv · 13 April 2026
How to cite this record
ethics.ai (19 February 2026), “Human in the loop artificial intelligence in healthcare: applications, outcomes, and implementation challenges,” evidence record 9886, https://ethics.ai/record/9886 (originally published by OpenAlex).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.