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Artificial Intelligence and Prostate Cancer—Improving Diagnosis and Treatment
Editor: Fabio Zattoni

Submission Deadline: 30 April 2024 (Status: Open)


Special Issue Editor


Dr. Fabio Zattoni      Email   |   Website
University of Padua
Interests: prostate cancer; prostate biopsy; prostate MRI; PET/CT


Special Issue Information

Dear Colleagues,

Prostate cancer is one of the most common cancers in men, and early detection is crucial for successful treatment. It is challenging for the diagnosis and treatment of prostate cancer due to the complex nature of the disease. In recent years, artificial intelligence (AI) has shown promise in improving the accuracy of prostate cancer diagnosis and treatment planning. This special issue focuses on the intersection of AI and prostate cancer, examining the ways in which AI is being used to improve diagnosis and treatment of the disease.

 

 Topics:

The special issue will cover a range of topics related to AI and prostate cancer, including but not limited to:

  • AI-based analysis of medical imaging data for more accurate diagnosis
  • Optimization of treatment planning through AI algorithms
  • Predictive modeling of patient outcomes using machine learning
  • New therapeutic strategies enabled by AI
  • Applications of AI in clinical practice, such as virtual assistants for patients
  • Metaverse
  • New frontiers in robotic survey with the use of AI
  • Ethical and social implications of AI in healthcare

 

Expected Outcomes:

The special issue will provide valuable insights into the current state and future directions of AI in prostate cancer diagnosis and treatment. The articles will showcase the latest research and developments in the field, highlighting the potential of AI to improve patient outcomes and enhance personalized treatment options. The articles will also address important ethical and social implications to consider as AI becomes more integrated into healthcare. The results of the special issue will help researchers, clinicians, and policymakers in associated field to improve the understanding of diagnosis and treatment of prostate cancer. We believe that this special issue will be an excellent resource for anyone interested in the intersection of AI and healthcare, and we look forward to receiving submissions from experts in the field.

Fabio Zattoni
Guest Editor


Keywords

Prostate cancer; artificial intelligence; diagnosis and treatment; MRI; PET/CT; robotic surgery; predictive tools


Manuscript Submission Information

Manuscripts should be submitted via our online editorial system at https://www.aeurologia.com/journalx_aedu/authorLogOn.action by registering and logging in to this website. Once you are registered, click here to start your submission. Manuscripts can be submitted now or up until the deadline. All papers will go through peer-review process. Accepted papers will be published in the journal (as soon as accepted) and meanwhile listed together on the special issue website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts will be thoroughly refereed through a double-blind peer-review process. Please visit the Instruction for Authors page before submitting a manuscript. Submitted manuscripts should be well formatted in good English.

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