NeonatAIlogy: The GIRISH (Goal, Input, Role, Iterative Refinement, Safety Verification, and Human Accountability) Framework for Structured, Human-Accountable Artificial Intelligence in Neonatal Intensive Care - Cureus
Researchers propose the GIRISH framework for human-accountable AI in neonatal intensive care. The framework aims to ensure safe and effective AI integration in healthcare.
- The GIRISH framework provides a structured approach to AI development in neonatal care
- Human accountability and safety verification are key components of the framework
- The framework aims to promote transparent and trustworthy AI integration in healthcare
The GIRISH framework is designed to provide a structured approach to AI development and deployment in neonatal intensive care. It emphasizes the importance of clear goals, well-defined inputs, and iterative refinement to ensure AI systems are safe and effective.
The framework also highlights the need for human accountability and safety verification, recognizing that AI systems must be designed to support human decision-making, not replace it.
By adopting the GIRISH framework, healthcare providers can promote more transparent and trustworthy AI integration, ultimately improving patient care and outcomes.
The proposed framework has significant implications for the development of AI in healthcare, as it prioritizes human-centered design and safety considerations.
provides a framework for developing safe and effective AI systems in healthcare
can inform the development of AI-powered medical devices and systems
highlights the importance of investing in human-centered AI design
can lead to improved patient outcomes and trust in medical AI systems
- GIRISH framework
- a framework for human-accountable AI in neonatal intensive care
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