Innovative Practice in Breast Health PDF

The aim of Innovative Practice in Breast-Health 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.

Innovative Practice in Breast-Health 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:

• Clinical trials and translational research regarding artificial intelligence-related technologies and breast pathologies
• Artificial intelligence and its application to data science, data omics, telemedicine and breast pathologies
• Algorithms for analyzing large-scale data sets for breast cancer diagnosis, prognosis and treatment; and also patient experience and patient-related outcomes
• Machine learning and deep learning approaches for breast imaging and surgery
• Telemedicine and telehealth applications for the management and screening of breast cancer and breast diseases
• Big data and data omics applications in breast cancer research, diagnosis and treatment

Volume 1: March 2024
Volume 2: July 2024