The Impact of Novel Technologies on Imaging Field

A special issue of Healthcare (ISSN 2227-9032).

Deadline for manuscript submissions: closed (1 April 2026) | Viewed by 1284

Editor


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Guest Editor
Nuclear Medicine Unit, Cardarelli Hospital, 86100 Campobasso, Italy
Interests: nuclear medicine; imaging

Special Issue Information

Dear Colleagues,

Novel technologies are spreading worldwide with a great impact on medical applications.

Medical imaging is a key component in the delivery of safe and efficient healthcare across the world and novel technologies offer unique information that can enhance our understanding of disease processes and provide clinical decision support.

Several technologies impact the imaging field, particularly radiomics and AI.

Radiomics is a rapidly developing field of research based on a quantitative approach to medical imaging, which aims to enhance the existing data available to clinicians by means of advanced mathematical analysis.

On the other hand, AI is transforming medical imaging by enhancing diagnostic accuracy and efficiency, enabling early disease detection, and facilitating personalized treatment plans. AI algorithms can analyze large datasets of images, identify patterns, and detect abnormalities that might be missed by the human eye. This technology supports radiologists and pathologists in their work, ultimately leading to improved patient outcomes.

We are pleased to invite you to share with us your data and opinions about the impact of novel technologies, with a special focus on AI tools and radiomics, on the fields of radiology and nuclear medicine.

This Special Issue aims to learn how these new technologies are influencing imaging procedures, with potential benefits and disadvantages.

In this Special Issue, original research articles and reviews are welcome.

I look forward to receiving your contributions.

Dr. Maria Ricci
Guest Editor

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Keywords

  • imaging
  • nuclear medicine
  • AI
  • radiomics
  • radiology

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Published Papers (1 paper)

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Review

17 pages, 1892 KB  
Review
Advances in Imaging and Diagnosis of Emphysematous Cholecystitis
by Kathleen H. Miao, Julia H. Miao, Sonam Rosberger, Abraham H. Dachman, Bachir Taouli and Sara C. Lewis
Healthcare 2026, 14(5), 617; https://doi.org/10.3390/healthcare14050617 - 28 Feb 2026
Cited by 1 | Viewed by 822
Abstract
Emphysematous cholecystitis is a rare but severe variant of acute cholecystitis characterized by gas-forming organisms within the gallbladder wall or lumen. It progresses rapidly and carries substantial mortality, making early and accurate recognition essential. Although its pathogenesis involves gallbladder wall ischemia with superimposed [...] Read more.
Emphysematous cholecystitis is a rare but severe variant of acute cholecystitis characterized by gas-forming organisms within the gallbladder wall or lumen. It progresses rapidly and carries substantial mortality, making early and accurate recognition essential. Although its pathogenesis involves gallbladder wall ischemia with superimposed infection by gas-producing bacteria—most commonly Clostridium species—the clinical presentation is often nonspecific, particularly in patients with diabetes mellitus or immunosuppression. Imaging therefore serves as the cornerstone of diagnosis. Abdominal radiographs may demonstrate intraluminal or intramural gas, while ultrasound can reveal echogenic foci with reverberation artifacts, though overlying bowel gas and diagnostic mimics may limit sensitivity. Computed tomography remains the most accurate modality, precisely delineating gas within the gallbladder wall, lumen, or adjacent tissues and facilitating urgent surgical or percutaneous intervention. Magnetic resonance imaging offers complementary soft tissue characterization when computed tomography is contraindicated. This review synthesizes traditional imaging findings and emerging diagnostic innovations by critically comparing modality-specific strengths, limitations, and pitfalls. Dual-energy and photon-counting computed tomography enhance tissue contrast and gas conspicuity, while artificial intelligence-assisted image analysis enables earlier detection and expedited triage in emergency settings. By integrating evolving technologies with established radiologic principles, this article provides a forward-looking framework for improving diagnostic precision and ultimately enhancing outcomes for patients with emphysematous cholecystitis. Full article
(This article belongs to the Special Issue The Impact of Novel Technologies on Imaging Field)
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