Pioneering Progress in Medical Imaging and Diagnostic Advancements

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 87

Special Issue Editors

Department of Management and Production Engineering, Polytechnic of Turin, 10129 Turin, Italy
Interests: computer vision; digital image processing; image segmentation; human–computer interaction; image analysis; 3D image processing; medical and biomedical image processing; extended reality; augmented reality; mixed reality; artificial intelligence
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Guest Editor
1. Department of Neuroscience, University of Turin, 10126 Turin, Italy
2. Neuroscience Institute Cavalieri Ottolenghi, 10043 Orbassano, TO, Italy
Interests: 3D neuroanatomy; 3D reconstruction; modeling; augmented reality; virtual reality; mixed reality; astrocytes; volume electron microscopy; neuroscience

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Guest Editor
Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy
Interests: product lifecycle management; product design and development; human–machine interaction; human–machine interface; human–computer interaction; computer-aided design; extended reality; augmented reality; virtual reality; artificial intelligence; behavioral analysis; digital therapies; minimally invasive surgery
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Guest Editor Assistant
Costech Laboratory, Compiègne University of Technology, 60200 Compiègne, France
Interests: ICT engineering; innovation management; cognitive sciences; design research methods; PLM and data models; human–machine interaction
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

"Pioneering Progress in Medical Imaging and Diagnostic Advancements" encompasses the transformative strides made in the realm of healthcare 4.0 technology, particularly in visualizing the human body and enhancing diagnostic capabilities. This progress has been propelled by advancements across various imaging acquisition system modalities and visualization technologies, particularly fostered by the development of extended reality (XR) devices.

These innovations have revolutionized the field by enabling earlier and more accurate detection of diseases, facilitating targeted treatment plans, and improving patient outcomes. For instance, virtual reality (VR) offers detailed three-dimensional models of internal structures, aiding in the diagnosis of conditions ranging from neurological disorders to cancer. Additionally, augmented reality (AR) provides valuable insights supporting not only preoperative planning, but also direct interventions in the surgery room.

Moreover, the integration of artificial intelligence (AI) algorithms has further augmented the capabilities of medical imaging, enabling faster interpretation of images and the identification of subtle abnormalities. This synergy between technology and medicine continues to drive progress, with ongoing research focusing on patient-centered approaches and realizing solutions tailored to the needs of surgeons.

Ultimately, pioneering advancements in medical imaging and diagnostics hold immense promise for improving patient care, facilitating early intervention, and advancing our understanding of human health and disease.

Dr. Luca Ulrich
Dr. Corrado Calì
Prof. Dr. Enrico Vezzetti
Guest Editors

Dr. Andrea Luigi Guerra
Guest Editor Assistant

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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.

Keywords

  • Healthcare 4.0
  • human body tracking
  • human body visualization
  • behavioral analysis
  • digital image processing
  • augmented reality
  • virtual reality
  • artificial intelligence
  • deep learning

Published Papers

This special issue is now open for submission.
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