Predicting cancer outcomes with radiomics and artificial intelligence in radiology
The successful use of artificial intelligence (AI) for diagnostic purposes has prompted the
application of AI-based cancer imaging analysis to address other, more complex, clinical …
application of AI-based cancer imaging analysis to address other, more complex, clinical …
[HTML][HTML] Application of deep learning in breast cancer imaging
This review gives an overview of the current state of deep learning research in breast cancer
imaging. Breast imaging plays a major role in detecting breast cancer at an earlier stage, as …
imaging. Breast imaging plays a major role in detecting breast cancer at an earlier stage, as …
Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer
The current standard of care for many patients with HER2-positive breast cancer is
neoadjuvant chemotherapy in combination with anti-HER2 agents, based on HER2 …
neoadjuvant chemotherapy in combination with anti-HER2 agents, based on HER2 …
Adoption of artificial intelligence in breast imaging: evaluation, ethical constraints and limitations
SE Hickman, GC Baxter, FJ Gilbert - British journal of cancer, 2021 - nature.com
Retrospective studies have shown artificial intelligence (AI) algorithms can match as well as
enhance radiologist's performance in breast screening. These tools can facilitate tasks not …
enhance radiologist's performance in breast screening. These tools can facilitate tasks not …
Deep learning in breast cancer imaging: A decade of progress and future directions
Breast cancer has reached the highest incidence rate worldwide among all malignancies
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …
Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using deep learning with integrative imaging, molecular and …
Neoadjuvant chemotherapy is widely used to reduce tumor size to make surgical excision
manageable and to minimize distant metastasis. Assessing and accurately predicting …
manageable and to minimize distant metastasis. Assessing and accurately predicting …
Deep learning prediction of pathologic complete response in breast cancer using MRI and other clinical data: a systematic review
Breast cancer patients who have pathological complete response (pCR) to neoadjuvant
chemotherapy (NAC) are more likely to have better clinical outcomes. The ability to predict …
chemotherapy (NAC) are more likely to have better clinical outcomes. The ability to predict …
Artificial intelligence-enhanced breast MRI: applications in breast cancer primary treatment response assessment and prediction
RL Gullo, E Marcus, J Huayanay… - Investigative …, 2024 - journals.lww.com
Primary systemic therapy (PST) is the treatment of choice in patients with locally advanced
breast cancer and is nowadays also often used in patients with early-stage breast cancer …
breast cancer and is nowadays also often used in patients with early-stage breast cancer …
Current status and future perspectives of artificial intelligence in magnetic resonance breast imaging
Recent advances in artificial intelligence (AI) and deep learning (DL) have impacted many
scientific fields including biomedical maging. Magnetic resonance imaging (MRI) is a well …
scientific fields including biomedical maging. Magnetic resonance imaging (MRI) is a well …
Dual-branch convolutional neural network based on ultrasound imaging in the early prediction of neoadjuvant chemotherapy response in patients with locally …
J Xie, H Shi, C Du, X Song, J Wei, Q Dong… - Frontiers in …, 2022 - frontiersin.org
The early prediction of a patient's response to neoadjuvant chemotherapy (NAC) in breast
cancer treatment is crucial for guiding therapy decisions. We aimed to develop a novel …
cancer treatment is crucial for guiding therapy decisions. We aimed to develop a novel …