About this Research Topic
Artificial intelligence (AI) represents one of the key novel frontiers in cancer research that has emerged in recent years and has the potential to positively impact many aspects of cancer diagnosis and care. AI comprises a type of computer science that develops software programs for intelligent execution of tasks or decision making with human-like cognition. These approaches allow for bridging the gap between the acquisition of data and its meaningful interpretation of said data by computers with minimal to no input by humans. Consequently, artificial intelligence has demonstrated outstanding capabilities for the resolution of a variety of biomedical problems, including cancer, over the past decade. Artificial intelligence can play an essential role in a wide variety of aspects of oncology, and with time the number of applications for this technology will undoubtedly grow.
One prominent emerging use for AI in oncology is in tumor detection and segmentation, where AI models analyze anatomical images to identify tumorous tissues, and based on characteristics of the tissues identifiable in these images subsequently classify and segment the tumors. There is the potential for these processes to be completed much quicker than it could otherwise be done by humans, and tracking of cancer development or the assessment of treatment success could become an almost autonomous process if AI is incorporated successfully. Breast cancer is still the most commonly diagnosed cancer worldwide, with SEER statistics stating more than one in ten women will be diagnosed with breast cancer at some point in their life. For this reason advances in early detection of breast cancers, as well as methods to track the disease are of vital importance.
We plan to reach a wide international audience by including western and eastern authors to cover several aspects of Artificial Intelligence in breast cancers. An important goal will be to organize a Special Issue with all kinds of possible reports: meta-analyses, original research, reviews, editorials, systematic reviews covering but limited to the following aspects;
- Use of AI in the detection of breast tumors
- Use of AI in the segmentation of breast tumors
- Use of AI in diagnosis and tracking breast cancers, and the impact this can have on prognostically predicting breast cancer patients outcomes
- Consequential utilization of the data acquired by AI, i.e. validation of cancer therapy in breast tumors
Please note: manuscripts that are solely based on bioinformatics or computational analysis of public databases without validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
One prominent emerging use for AI in oncology is in tumor detection and segmentation, where AI models analyze anatomical images to identify tumorous tissues, and based on characteristics of the tissues identifiable in these images subsequently classify and segment the tumors. There is the potential for these processes to be completed much quicker than it could otherwise be done by humans, and tracking of cancer development or the assessment of treatment success could become an almost autonomous process if AI is incorporated successfully. Breast cancer is still the most commonly diagnosed cancer worldwide, with SEER statistics stating more than one in ten women will be diagnosed with breast cancer at some point in their life. For this reason advances in early detection of breast cancers, as well as methods to track the disease are of vital importance.
We plan to reach a wide international audience by including western and eastern authors to cover several aspects of Artificial Intelligence in breast cancers. An important goal will be to organize a Special Issue with all kinds of possible reports: meta-analyses, original research, reviews, editorials, systematic reviews covering but limited to the following aspects;
- Use of AI in the detection of breast tumors
- Use of AI in the segmentation of breast tumors
- Use of AI in diagnosis and tracking breast cancers, and the impact this can have on prognostically predicting breast cancer patients outcomes
- Consequential utilization of the data acquired by AI, i.e. validation of cancer therapy in breast tumors
Please note: manuscripts that are solely based on bioinformatics or computational analysis of public databases without validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
Keywords: artificial intelligence, computer, deep learning, detection, segmentation, diagnosis, tracking, breast, cancer
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