Data-driven tools and techniques, particularly machine learning methods that underpin artificial intelligence, offer promise in improving healthcare systems and services. One of the companies aspiring to pioneer these advances is DeepMind Technologies Limited, a wholly-owned subsidiary of the Google conglomerate, Alphabet Inc. In 2016, DeepMind announced its first major health project: a collaboration with the…
Health and Technology Template
Write in a clean editor, then format for Health and Technology in one click — DocuGuru applies the official Springer Nature template with superscript references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Health and Technology format
Health and Technology is a peer-reviewed journal published by Springer Nature, covering Mobile Health and mHealth Applications, Artificial Intelligence in Healthcare, Electronic Health Records Systems.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Health and Technology 12, 45–58 (2023).
Formats any DOI in Health and Technology style. No sign-up. |
| Publishes research in | Mobile Health and mHealth Applications Artificial Intelligence in Healthcare Electronic Health Records Systems Artificial Intelligence in Healthcare and Education COVID-19 diagnosis using AI |
| ISSN | 2190-7188 |
| Citation impact (2-yr) | 2.95 |
| h-index | 55 |
| i10-index | 400 |
| Total citations | 16,020 |
| Article processing charge | $2,990 |
| Top institutions publishing here | University of Ghana |
| Journal website | www.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Health and Technology per year
Citation impact of Health and Technology by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Health and Technology
Abstract The diagnosis of diseases is decisive for planning proper treatment and ensuring the well-being of patients. Human error hinders accurate diagnostics, as interpreting medical information is a complex and cognitively challenging task. The application of artificial intelligence (AI) can improve the level of diagnostic accuracy and efficiency. While the current literature has examined various…