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

Girish Gupta, Shantanu Shubham, Richa Joshi, Syed Moiz Ahmed, Naini Puri

Abstract read

In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Girish GuptaNeonatology, Graphic Era Deemed to be University, Dehradun, IND.

Shantanu ShubhamPediatrics, Graphic Era Deemed to be University, Dehradun, IND.

Richa JoshiPediatrics, Graphic Era Deemed to be University, Dehradun, IND.

Syed Moiz AhmedPediatrics, Graphic Era Deemed to be University, Dehradun, IND.

Naini PuriPediatrics, Graphic Era Deemed to be University, Dehradun, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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)

Indexed as

artificial intelligenceclinical ai governancegirish frameworkhuman accountabilitylarge language modelsmachine learningneonatologynicustructured clinical ai interaction

Identifiers

PMID42707339

DOI10.7759/cureus.114149

PMCPMC13547708

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.