Next Journal of AI in Healthcare

The Next Journal of AI in Healthcare (NJAIH) is an open access, peer-reviewed journal at the frontier of artificial intelligence and health. NJAIH publishes research on the development,...
The Next Journal of AI in Healthcare (NJAIH) is an open access, peer-reviewed journal at the frontier of artificial intelligence and health. NJAIH publishes research on the development, evaluation, governance, and real-world implementation of AI tools, including large language models (LLMs), retrieval-augmented generation (RAG) systems, computer vision, and predictive analytics across clinical medicine, public health, and health administration.

Primary Focus Area: Artificial intelligence, machine learning, large language models, and digital decision-support in clinical and public health settings

Aims of the Journal

•       Advance rigorous, reproducible AI research with direct healthcare applications

•       Address the ethical, legal, and governance dimensions of AI in medicine

•       Foster interdisciplinary collaboration between clinicians, data scientists, and health policymakers

•       Promote transparent reporting and evaluation standards for healthcare AI

Article Types Considered for Publication

•       Original Research

•       Technical Reports

•       Systematic Reviews

•       AI Ethics & Governance Papers

•       Perspectives

•       Study Protocols

•       Letters to the Editor

NGHC Publications

Next Journal of AI in Healthcare

(NJAIH)

Section Policies

This document sets out the editorial policies, scope, structural requirements, reporting standards, and submission specifications for each article type accepted by NJAIH. Authors must review and comply with the relevant section policy before preparing and submitting a manuscript.

 

#

Section

Description

Word Limit

1

Original Research

Primary empirical studies with new data or novel analyses

3,500–6,000

2

Technical Reports

AI system, dataset, and pipeline documentation

2,000–5,000

3

Systematic Reviews

Comprehensive evidence syntheses and meta-analyses

5,000–8,000

4

AI Ethics & Governance

Normative, legal, and policy scholarship on responsible AI

3,000–7,000

5

Perspectives

Expert viewpoints, opinion, and commentary

1,500–3,000

6

Study Protocols

Pre-registered plans for planned or ongoing studies

3,000–6,000

7

Letters to the Editor

Brief correspondence and rapid communications

400–800

 

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Recent Articles

Large language models in clinical decision support: a systematic evaluation of diagnostic accuracy and safety considerations across five medical specialties
Next Journal of AI in Healthcare General Large language models in clinical decision support: a systematic evaluation of diagnostic accuracy and safety considerations across five medical specialties

Background: Large language models (LLMs) are increasingly proposed as adjuncts to clinical decision support systems; however, rigorous comparative evaluations of their...

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2026-05-21
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