Artificial Intelligence in Cancer Pathology and Prognosis

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. Dr. Ali Hekmatnia
Dr. Rahele Kafieh
Dr. Ali Jamali
Topic Editors