Editor-in-Chief
Pr. Carole M. Mathelin, MD, PhD, Strasbourg, France
Associate Editors-in-chief
Tolga Ozmen, MD, Boston, MA, USA, Guosheng Ren, Chongqing, China, Sébastien Moliere, MD, Strasbourg, France, Nicolas Taris, PhD, Strasbourg, France
Editorial Board
Khalid Alghamdi, MD, Jeddah, Saudi Arabia, Anne-Sophie Azuar, MD, Grasse, France, Susie Brousse, MD, PhD, Rennes, France, Foucauld Chamming's, Md, PhD, Bordeaux, France, Christophe Cordier, PhD, Lausanne, Switzerland, Yann Delpech, Nice, France, Darius Dian, Prof. Dr. med. Dr. rer. hum. Biol, MBA, Munich, Germany, Shigeru Imoto, MD, PhD, Mitaka, Japan, Cary Kaufman, MD, Washington, USA, Meriem Koual, MD, PhD, Paris, France, Hongyuan Li, Chongqing, China, Mauricio Magalhães Costa, MD, MSc, PhD, Rio de Janeiro, Brazil, Alexander Mundinger, Prof. Dr. med., Münster, Germany, Vahit Özmen, MD, PhD, Istanbul, Turkey, Tadeusz Pienkowski, MD, PhD, Warsaw, Poland, Schlomo Schneebaum, MD, Tel Aviv, Israel, Mickael Tardy, PhD, Nantes, France, Catherine Tomasetto, PhD, Strasbourg, France, Catherine Uzan, Md, PhD, Paris, France, Charlotte Vaysse, MD, PhD, Toulouse, France, Jian Ying, Tianjin, China
Managing Editor : Albert Moussaron, PhD, Strasbourg, France
The aim of this journal is to provide a platform for the sharing of new knowledge and research related to evaluation of applications of new technologies in the field of breast diseases. The journal seeks to promote the development and understanding of the latest advances in artificial intelligence, data science and data omics, telemedicine, image-assisted surgery, connected objects and telemedicine, prediction, personalized medicine and simulation in the field of breast cancer and other breast pathologies.
This journal will publish high quality peer-reviewed original research, review articles, editorials, case reports (proof of concept of innovative applications of artificial intelligence-related technologies), and perspectives that encompass the evaluation and application of innovative technologies in the treatment, prevention, diagnosis and management of breast pathologies.
The journal welcomes research from all relevant disciplines, provided that it involves artificial intelligence-related technologies and breast diseases, including but not limited to surgery, imaging, medical oncology, radiation oncology, pathology, genetics, epidemiology, public health, nursing and allied health sciences, psychology, sociology, education, economic and health policy and management.
The scope of the journal includes but is not limited to:
The aim of this journal is to provide a platform for the sharing of new knowledge and research related to evaluation of applications of new technologies in the field of breast diseases. The journal seeks to promote the development and understanding of the latest advances in artificial intelligence, data science and data omics, telemedicine, image-assisted surgery, connected objects and telemedicine, prediction, personalized medicine and simulation in the field of breast cancer and other breast pathologies.
This journal will publish high quality peer-reviewed original research, review articles, editorials, case reports (proof of concept of innovative applications of artificial intelligence-related technologies), and perspectives that encompass the evaluation and application of innovative technologies in the treatment, prevention, diagnosis and management of breast pathologies.
The journal welcomes research from all relevant disciplines, provided that it involves artificial intelligence-related technologies and breast diseases, including but not limited to surgery, imaging, medical oncology, radiation oncology, pathology, genetics, epidemiology, public health, nursing and allied health sciences, psychology, sociology, education, economic and health policy and management.
The scope of the journal includes but is not limited to:
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