AI/Machine Learning in Abdominal and Pelvic Diagnostics

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".

Deadline for manuscript submissions: 31 August 2024 | Viewed by 92

Special Issue Editor


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Guest Editor
Department of Medical Imaging and Nuclear Medicine, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
Interests: abdominal imaging; pelvic imaging; oncologic imaging; MRI of the liver
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the ever-evolving landscape of medical diagnostics, the integration of artificial intelligence (AI) and machine learning (ML) has emerged as a transformative force, reshaping the precision and efficiency with which we unravel complexities within the abdominal and pelvic regions. This fusion of cutting-edge technology and diagnostic medicine has opened new frontiers, promising to enhance accuracy, expedite analysis, and revolutionize decision-making in the realm of abdominal and pelvic diagnostics.

The intricate anatomy and diverse pathologies within the abdominal and pelvic regions pose unique challenges to healthcare professionals. Enter AI and machine learning, ushering in a new era where algorithms are trained to interpret imaging data with unparalleled speed and precision. From identifying subtle anomalies in medical scans to predicting potential diagnoses, this intersection of artificial intelligence and diagnostics holds the promise of not only improving accuracy but also optimizing the allocation of healthcare resources.

Join us on a journey into the realm of "AI/Machine Learning in Abdominal and Pelvic Diagnostics." We will explore the applications of these advanced technologies, their impact on radiology and medical imaging, and the potential to revolutionize the way we approach diagnosis and treatment planning in these crucial areas of healthcare. As we navigate the convergence of artificial intelligence and medical expertise, we aim to illuminate the path towards a more efficient, precise, and patient-centric future in abdominal and pelvic diagnostics.

We look forward to receiving your contributions.

Dr. Cosmin Caraiani
Guest Editor

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. Diagnostics is an international peer-reviewed open access semimonthly 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 2600 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

  • artificial intelligence (AI)
  • machine learning (ML)
  • diagnostic imaging
  • abdominal diagnostics
  • pelvic diagnostics

Published Papers

This special issue is now open for submission.
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