AI in Imaging—New Perspectives, 2nd Edition

A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Surgery".

Deadline for manuscript submissions: 15 January 2025 | Viewed by 972

Special Issue Editor


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Guest Editor
University North, 42000 Varazdin, Croatia
Interests: artificial intelligence in medicine; musculoskeletal radiology; healthcare management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The aim of this Special Issue is to provide an overview of all relevant aspects of imaging involving artificial intelligence and machine learning tools:

- Technical solutions for AI in imaging;

- Testing of AI-based solutions for imaging in various medical disciplines;

- Imaging results in clinical practice obtained by AI and ML tools;

- Short- and long-term experience with AI imaging tools;

- Education about AI principles;

- Management of big data;

- Perception of AI among professionals and patients;

- Ethical considerations and data ownership.

The authors are also encouraged to submit their technical notes, imaging strategies and decision making, outcome studies, patient satisfaction studies, ethical considerations, and systematic reviews and meta-analyses for novel techniques. Case series and case reports of high quality would also be considered for publication.

Dr. Ivo Dumić-Čule
Guest Editor

Manuscript Submission Information

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Keywords

  • artificial intelligence
  • imaging
  • machine learning
  • radiology
  • ethics
  • big data

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Published Papers (1 paper)

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7 pages, 232 KiB  
Opinion
Technology beyond Biology; Isn’t It Time to Update WHO’s Definition of Health?
by Maja Baretić, Dragan Primorac, David de Bruijn and Velimir Altabas
Medicina 2024, 60(9), 1456; https://doi.org/10.3390/medicina60091456 - 5 Sep 2024
Viewed by 744
Abstract
Technology is increasingly shaping human life, particularly in healthcare, where recent advancements have revolutionized patient care. Despite these advances, the World Health Organization’s (WHO) definition of health remains rooted in traditional notions, raising questions about its adequacy in light of technological progress. This [...] Read more.
Technology is increasingly shaping human life, particularly in healthcare, where recent advancements have revolutionized patient care. Despite these advances, the World Health Organization’s (WHO) definition of health remains rooted in traditional notions, raising questions about its adequacy in light of technological progress. This paper explores the conceptual and practical limitations of the current definition and argues for its revision to encompass the role of technology in health. This paper examines the evolving landscape of healthcare technology and its philosophical implications, drawing on theories such as the Extended Health Hypothesis and the Extended Mind Hypothesis. It claims that health extends beyond traditional biological boundaries and includes the influence of technology on well-being. This paper advocates for a re-examination of the WHO definition of health to reflect the integral role of technology in modern healthcare. Recognizing technology as part of health necessitates a broader conceptual framework that acknowledges the interconnectedness of biology, technology, and human well-being. Given technology’s transformative role in healthcare, this paper argues for a revaluation of the WHO’s definition of health to encapsulate the evolving relationship between technology and human well-being. At the end, we propose a new definition recognizing that health is a dynamic state of physical, mental, social, and technological well-being, wherein individuals can achieve optimal quality of life through the harmonious integration of biological, psychological, and technological factors. This state encompasses not only the absence of disease but also the effective utilization of advanced technologies. Full article
(This article belongs to the Special Issue AI in Imaging—New Perspectives, 2nd Edition)
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