Latest AI and machine learning research in breast cancer for healthcare professionals.
PURPOSE: Four-dimensional computed tomography (4D CT) imaging is essential for radiation therapy pla...
Traditionally, CT has been the go-to method for visualizing bone structures, while MRI has been pref...
PURPOSE: This study aims to evaluate the performance of artificial intelligence (AI)-assisted PET im...
INTRODUCTION: This study aimed to create a survival prediction model for breast cancer(BC) using per...
Lung cancer remains one of the most lethal malignancies worldwide, and the early and accurate diagno...
OBJECTIVE: The aim of this study is to evaluate the prognostic performance of a nomogram integrating...
Esophageal cancer (EC) is one of the most serious health issues around the world, ranking seventh am...
BACKGROUND CONTEXT: Spinal low-grade gliomas (SLGGs) are rare, slow-growing central nervous system t...
This study investigated radiologists' perceptions of AI-generated, patient-friendly radiology report...
Breast cancer continues to be a major global health concern, particularly for women, despite improve...
The systematic literature review was performed on the use of artificial intelligence (AI) algorithms...
INTRODUCTION: Strategic investment in new interventions is crucial for controlling and eliminating N...
Artificial intelligence and machine learning models have been developed to engineer antibodies for s...
Breast cancer continues to be a leading cause of death among women in the world. The prediction of s...
BACKGROUND: Accurate prediction of pathological complete response (pCR) to neoadjuvant chemotherapy ...
The integration of artificial intelligence (AI) into clinical practice, particularly within radiolog...
Purpose To improve the generalizability of pathologic complete response (pCR) prediction following ...
Breast cancer is among the most dominant and rapidly rising cancers, both in India and around the wo...
BACKGROUND: Neoadjuvant chemotherapy (NAC) can improve the prognosis of patients with locally advanc...
BACKGROUND: Relapse and drug resistance are major contributor to chemotherapy failure in diffuse lar...
Deep learning has revolutionized medical imaging, improving tasks like image segmentation, detection...