NeonatAIlogy: The GIRISH (Goal, Input, Role, Iterative Refinement, Safety Verification, and Human Accountability) Framework for Structured, Human-Accountable Artificial Intelligence in Neonatal Intensive Care

Artificial intelligence (AI) chatbots are becoming increasingly accessible at the point of care, including in the neonatal intensive care unit (NICU), yet structured guidance for their safe use remains limited. This technical report reviews AI applications across neonatology and introduces GIRISH (Goal, Input, Role, Iterative refinement, Safety verification, and Human accountability), a practical six-step framework for safe, effective, and human-accountable AI use at the NICU bedside, together with ready-to-adapt prompt templates for eight clinical domains. This is a narrative technical report and conceptual synthesis, not a systematic or scoping review; therefore, it provides an illustrative rather than exhaustive overview of AI applications, and no formal PRISMA-ScR record accounting was undertaken. The report is informed by a narrative literature search of PubMed/MEDLINE, Embase, Scopus, and the Cochrane Library (January 2020 to January 2026) covering eight neonatal domains, with the GIRISH framework developed through primary conceptual synthesis. This report maps AI applications in neonatology across five tiers, ranging from rule-based clinical decision support to multimodal agentic systems. GIRISH offers a bedside-ready interaction framework with domain-specific prompt templates, a three-tier safety hierarchy, and a minimum viable adaptation (MV-GIRISH) for resource-limited settings. GIRISH structures how AI is consulted, interrogated, and documented at the bedside. Finally, we propose NeonatAIlogy as a conceptual direction - not an already-established subdiscipline - to organize the governance, education, and research infrastructure required for its responsible integration.