Editors’ welcome

Welcome to Issue 39 of the New Zealand Medical Student Journal (NZMSJ), Te Hautaka o nga Akonga Rongoa. This issue celebrates big data and digital health research in medicine: a topic that is currently reshaping the practice of medicine and the future of healthcare. From artificial intelligence to wearable technologies and electronic health records, digital innovations are transforming the ways we diagnose, treat, and monitor patients, offering unprecedented opportunities to improve health outcomes.

Authors

Publication Details

Journal
New Zealand Medical Student Journal
Published
2025-09-28
DOI
https://doi.org/10.57129/001c.144913
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

Funders

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article

Editors’ welcome

Lorna Pairman, Jung-Woo Yi
New Zealand Medical Student Journal
Artificial Intelligence in Healthcare and Education
article

Editors’ welcome

Lorna Pairman, Jung-Woo Yi
article en

Abstract

Welcome to Issue 39 of the New Zealand Medical Student Journal (NZMSJ), Te Hautaka o nga Akonga Rongoa. This issue celebrates big data and digital health research in medicine: a topic that is currently reshaping the practice of medicine and the future of healthcare. From artificial intelligence to wearable technologies and electronic health records, digital innovations are transforming the ways we diagnose, treat, and monitor patients, offering unprecedented opportunities to improve health outcomes.

New Zealand Medical Student JournalVol. 0(39)
University of Otago
Openalex Percentile: Top 80%
Artificial Intelligence in Healthcare and Education
DOIOpen Access PDFOpenAlex
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Editors’ welcome — Lorna Pairman, Jung-Woo Yi · New Zealand Medical Student Journal (2025) | TGRS Research Map | TGRS