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Artificial Intelligence in Health

EDITORIAL
Chief Editor’s foreword to the inaugural issue of

Artificial Intelligence in Health

Andrzej Cichocki *
†
Systems Research Institute of Polish Academy of Science, Warsaw, Poland

It is my great pleasure to write this editorial for the first issue of Artificial Intelligence
in Health. In recent years, research on artificial intelligence (AI) and its applications
in health and medical care, spanning diverse disciplines such as computer science,
neuroscience, medicine, and AI subtopics such as machine learning (ML), deep neural
networks, and big data analytics, has been gaining traction. Particularly, deep learning
(DL) offers efficient ways to classify, recognize, cluster, predict, and detect anomalies in
complex medical data, which are key factors for building AI for medical and health-care
applications.

AI is a form of intelligence inspired by the massively parallel architecture found
in human brains, especially the architecture of the visual and cerebral cortex, and
other brain regions that are essential for decision-making, planning, and survival.
A computational and machine learning theory of DL and ML allows us to assess the
strengths and weaknesses of different network architectures, which are instrumental
for major improvements and will guide us in designing better intelligent systems and
more efficient learning algorithms. Such intelligent systems are often regarded as
†Professor Andrzej Cichocki is high-dimensional dynamical systems that learn how to map input spaces into output
the Editor-in-Chief of Artificial spaces.
Intelligence in Health
We are now living in a new era of massive exchange of information and big data.
*Corresponding author: At present, the tremendous rise of AI, especially DL and ML, is key to generating
Andrzej Cichocki
(a.cichocki@riken.jp) in-depth knowledge, advancing our understanding of various diseases, and enabling
early diagnosis of these diseases through evaluation of their progression and
Citation: Cichocki A, 2024,
Chief Editor’s foreword to the health outcome. The recent dramatic progresses in AI and ML have reinforced the
inaugural issue of Artificial importance of this journal – Artificial Intelligence in Health – which we strongly
Intelligence in Health. Artif Intell believe will be an influential and high-impact journal in the near future. The prime
Health, 1(1): 1-2.
https://doi.org/10.36922/aih.2463 goal of this journal is to capture the evolving development of these features and the
progresses in intelligent or smart medical signal/image processing and large-scale
Received: December 18, 2023
medical data analysis.
Published Online: December 26, 2023
We aim to publish in this journal the high-quality research papers containing
Copyright: © 2024 Author(s).
This is an Open-Access article substantial contributions and performance validation or evaluation, with data
distributed under the terms of the supported by extensive computer simulations. Mathematically and ML-oriented
Creative Commons Attribution papers on topics of exceptional interest to the community will be also considered. High
License, permitting distribution,
and reproduction in any medium, priority will be given to contributions concerned with discussions of the background
provided the original work is of reliable medical data; establishment of appropriate models, analytical or numerical;
properly cited. and discussions of the relevance of the results when applied to the current health
Publisher’s Note: AccScience problems supported by AI. In Artificial Intelligence in Health, we will also release
Publishing remains neutral with special issues that address contemporary issues or hot topics. Potential guest editors
regard to jurisdictional claims in
published maps and institutional are encouraged to submit detailed proposals to deliver a written pitch presentation for
affiliations. launching special issues.

Volume 1 Issue 1 (2024) 1 https://doi.org/10.36922/aih.2463