Bridging Medical Imaging and Biosignal Analysis: Innovations in Healthcare Diagnostics

A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Medical Imaging".

Deadline for manuscript submissions: closed (31 October 2025) | Viewed by 477

Special Issue Editors


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Guest Editor
Department of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, 5612 AZ Eindhoven, The Netherlands
Interests: medical imaging processing; contrast-enhanced imaging; physiological modeling; mechanical ventilation; machine learning; patient monitoring; biosignal processing

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Guest Editor
Biolab, PoliToBIOMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy
Interests: generative imaging; deep learning; digital pathology; uncertainty quantification; multimodal systems

Special Issue Information

Dear Colleagues,

The convergence of medical imaging and biosignal analysis is opening new frontiers in healthcare, offering unprecedented opportunities for early diagnosis, personalized treatment, and patient monitoring. The extraction and analysis of biomarkers from imaging data and physiological measurements are critical for understanding disease mechanisms and tailoring interventions.

This Special Issue will highlight the latest advancements in the integration of medical imaging with biosignal analysis. We focus on novel methodologies for extracting clinically relevant biomarkers, improving the accuracy of physiological measurements, and enhancing the diagnostic capabilities of existing technologies. We also welcome contributions that explore the application of artificial intelligence (AI) and machine learning (ML) techniques to these processes, along with innovative approaches to signal processing and the integration of multi-modal data for a more comprehensive assessment of patient health. Research that emphasizes the clinical application of these technologies, particularly in improving patient outcomes and advancing personalized medicine, is highly encouraged. We are especially interested in studies demonstrating tangible impacts on healthcare practices and patient care through the integration of imaging and biosignal analysis.

By bringing together state-of-the-art research, this Special Issue will provide a platform for the dissemination of pioneering work that will shape the future of medical diagnostics and treatment. We invite researchers and clinicians to contribute their latest findings and innovations in this rapidly evolving field.

Dr. Simona Turco
Dr. Massimo Salvi
Guest Editors

Manuscript Submission Information

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Keywords

  • medical imaging
  • biosignal analysis
  • biomarkers extraction
  • machine learning
  • physiological modeling

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Published Papers (1 paper)

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27 pages, 3544 KB  
Systematic Review
Prognostic Value of Enterography Findings in Crohn’s Disease: A Systematic Review and Meta-Analysis
by Felipe Montevechi-Luz, Adrieli Heloísa Campardo Pansani, Juliana Delgado Campos Mello, Ana Emilia Carvalho de Paula, Lívia Moreira Genaro, Marcia Carolina Mazzaro, Daniel Lahan-Martins and Raquel Franco Leal
J. Imaging 2025, 11(11), 392; https://doi.org/10.3390/jimaging11110392 (registering DOI) - 5 Nov 2025
Abstract
Crohn’s disease is a chronic inflammatory disorder with variable progression that often leads to hospitalization, treatment escalation, or surgery. While clinical and endoscopic indices guide disease monitoring, cross-sectional enterography provides unique visualization of transmural and extramural inflammation, offering valuable prognostic information. This systematic [...] Read more.
Crohn’s disease is a chronic inflammatory disorder with variable progression that often leads to hospitalization, treatment escalation, or surgery. While clinical and endoscopic indices guide disease monitoring, cross-sectional enterography provides unique visualization of transmural and extramural inflammation, offering valuable prognostic information. This systematic review and meta-analysis examined the prognostic significance of magnetic resonance enterography (MRE) and computed tomography enterography (CTE) in Crohn’s disease. Following PRISMA guidelines and a registered protocol, eight databases were systematically searched through August 2024. Two reviewers independently conducted data extraction, risk-of-bias assessment (QUADAS-2), and certainty grading (GRADE). Random-effects models were applied for pooled analyses. Eleven studies, including more than 1500 patients, met eligibility criteria. Across cohorts, transmural healing on enterography was consistently associated with favorable long-term outcomes, including a markedly lower need for surgery and hospitalization. Conversely, stenosis and persistent inflammatory activity identified patients at substantially higher risk of surgery, treatment intensification, or disease-related hospitalization. The certainty of evidence was high for surgical outcomes and moderate to low for other endpoints. Conventional enterography provides meaningful prognostic insight into Crohn’s disease and should be considered a complementary tool for risk stratification and treatment planning. Transmural healing represents a protective marker of a favorable disease course, whereas structural and inflammatory findings indicate patients who may benefit from closer monitoring or earlier therapeutic intervention. Full article
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