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Artificial Intelligence in Cancer Pathology and Prognosis
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Department of Mechanical and Automotive Engineering, School of Engineering, RMIT University, Melbourne, VIC 3083, Australia
Prof. Dr. Ali Hekmatnia
Radiology Department, School of Medicine, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran
Biosciences Institute , Newcastle University, Newcastle upon Tyne, UK
Dr. Ali Jamali
Department of Mechanical, Manufacturing and Mechatronic Engineering, RMIT, Melbourne, Australia
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Artificial Intelligence in Cancer Pathology and Prognosis

Abstract submission deadline
28 February 2025
Manuscript submission deadline
1 May 2025
Viewed by
75

Topic Information

Dear Colleague,

Artificial Intelligence (AI) has transformed the landscape of cancer pathology and prognosis, presenting unparalleled opportunities for early detection, precise diagnosis, and tailored treatment strategies. This topic delves into the latest advancements in AI technologies, encompassing machine learning algorithms, deep learning models, and computer vision techniques, applied across various domains of cancer pathology. From the analysis of histopathological images to the identification of biomarkers and the prediction of patient outcomes, AI-driven approaches have exhibited remarkable efficacy in enhancing the accuracy and efficiency of both cancer diagnosis and prognosis. This topic elucidates key research findings, addresses prevailing challenges, and outlines future directions for leveraging AI to augment cancer care and management, ultimately resulting in improved patient outcomes and advancements in precision oncology. All papers from related journals are welcome for peer review.

Dr. Hamid Khayyam
Prof. Ali Hekmatnia
Dr. Rahele Kafieh
Dr. Ali Jamali
Topic Editors

Keywords

  • AI
  • machine learning
  • cancer pathology
  • prognosis
  • machine learning
  • deep learning
  • computer vision
  • precision oncology
  • histopathological images
  • biomarkers
  • patient outcomes

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Cancers
cancers 		5.2 7.4 2009 17.9 Days CHF 2900 Submit
Current Oncology
curroncol 		2.6 2.6 1994 18 Days CHF 2200 Submit
Diagnostics
diagnostics 		3.6 3.6 2011 20.7 Days CHF 2600 Submit
Diseases
diseases 		3.7 - 2013 18.8 Days CHF 1800 Submit
Onco
onco 		- - 2021 18.3 Days CHF 1000 Submit

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