Latest AI and machine learning research in breast cancer for healthcare professionals.
The proliferation of toxigenic fungi in food and the subsequent production of mycotoxins constitute ...
INTRODUCTION: Artificial intelligence (AI) is now transforming medical imaging, with extensive ramif...
PURPOSE: Artificial intelligence (AI) tools could improve clinical decision making or exacerbate ine...
BackgroundThe primary challenges in PET/MR imaging include prolonged scan durations for both PET and...
Purpose To build a deep learning framework using contrast-enhanced MRI for lesion segmentation and a...
Based on observed meteorological elements, photolysis rates (J-values) and pollutant concentrations,...
PURPOSE: A multimodal artificial intelligence (MMAI) biomarker was developed using clinical trial da...
Artificial intelligence (AI) and the introduction of Large Language Model (LLM) chatbots have become...
This paper introduces a novel approach for predicting symptom escalation in chemotherapy patients by...
BACKGROUND AND PURPOSE: We aimed to develop a physics-informed deep learning model for beam dose pre...
Background Limited data are available regarding the accuracy of artificial intelligence (AI) algorit...
TME is a core player in the development of a cancerous lesion, the immune evasive potential of the l...
Background The ScreenTrustCAD trial was a prospective study that evaluated the cancer detection rate...
Breast cancer affects millions globally, necessitating precise biomarker testing for effective treat...
Cyanobacterial blooms in shallow lakes pose a significant threat to aquatic ecosystems and public he...
The human epidermal growth factor receptor 2 (HER2) is a critical oncogene implicated in the develop...
BACKGROUND: This research aims to use deep learning to create automated systems for better breast ca...
Background Combined mammography and MRI screening is not universally accessible for women with inter...
Purpose To develop and evaluate a deep learning-based prognostic model for predicting survival in lo...
OBJECTIVES: To investigate the impact of artificial intelligence (AI) on enhancing the sensitivity o...
MOTIVATION: Contextual integration of multiomic datasets from the same patient could improve the acc...