Emerging Applications of Machine Learning in Healthcare, Industry, and Beyond

Dear Colleagues,

Aims, Scope, and Objective of the Special Issue

This Special Issue is derived from the 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence, and Neural Engineering—IEEE MetroXRAINE 2024. It is dedicated to showcasing extended versions of conference papers that highlight the transformative impact of machine learning across various domains such as healthcare, industry, and beyond. In addition, authors outside the conference are also welcome to submit papers that are within the scope of the Special Issue. This Special Issue will illustrate how emerging machine learning technologies are being integrated into complex systems to solve real-world problems, enhance operational efficiency, and introduce new research trajectories.

As a Special Issue arising from a conference, the authors of invited papers should be aware that the final submitted manuscript must comprise a minimum of 50% new content and not exceed 30% copy/paste from the proceedings paper.

Objectives:

• To present extended research from IEEE MetroXRAINE 2024, emphasizing significant advancements in the application of machine learning in diverse settings.
• To feature innovative machine learning applications that enhance diagnostics, treatment modalities, and patient management within healthcare.
• To explore robust machine learning implementations in industrial contexts, including automation, predictive maintenance, and the optimization of manufacturing processes.
• To bridge traditional boundaries by applying machine learning to new areas, fostering interdisciplinary collaborations that integrate technology with social sciences, environmental studies, and public health.
• To debate and outline the future challenges of machine learning, including ethical considerations, data security, and the implications of AI technology for societal norms and regulations.

Scope:

The scope of this Special Issue includes, but is not limited to, the following topics:

• The use of advanced machine learning techniques in medical imaging, predictive healthcare, and patient data analysis.
• The ability of AI and ML to enhance the efficiency, reliability, and Productivity of industrial systems.
• Novel applications of AI in sectors such as environmental science, smart infrastructure, and energy management.
• The development of cutting-edge ML algorithms, including those based on deep learning, reinforcement learning, and unsupervised learning approaches.
• Critical discussions on the ethics, privacy, and societal impact of deploying machine learning technologies.
• The exploration of generative AI models, such as large language models (LLMs), generative adversarial networks (GANs), and diffusion models in various applications.
• The examination of data privacy and the cybersecurity challenges associated with deploying AI technologies.
• The application of large language models in industrial settings to optimize operations and decision-making processes.

Dr. Francesco Isgrò
Prof. Dr. Huiyu Zhou
Dr. Daniele Ravi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• machine learning
• healthcare
• industry
• extended reality
• neural engineering