Latest AI and machine learning research in breast cancer for healthcare professionals.
Non-adherence to medications is a critical concern since nearly half of patients with chronic illn...
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...
Efficiently acquired and precisely reconstructed imaging are crucial to the success of modern radi...
Computed tomography (CT) examination poses radiation injury to patient. A consensus performing CT ...
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...
TME is a core player in the development of a cancerous lesion, the immune evasive potential of the l...
Background Limited data are available regarding the accuracy of artificial intelligence (AI) algorit...
Breast cancer, the most common malignancy among women, requires precise detection and classificati...
This study explores open questions in the application of machine learning for breast cancer detect...
The reliance on radiation-hardened hardware, essential for domains requiring high-dependability su...
Background: Lung cancer ranks as the leading cause of cancer-related mortality worldwide. The comp...
Computed tomography (CT)-guided needle biopsies are critical for diagnosing a range of conditions,...
Women are underdiagnosed and undertreated for cardiovascular disease. Automatic quantification of ...
Despite advancements in Computer-Aided Diagnosis (CAD) systems, breast cancer remains one of the l...
Outdoor thermal comfort is a critical determinant of urban livability, particularly in hot desert ...
Despite significant progress in robust deep learning techniques for mammogram breast cancer classi...
Targeted Radionuclide Therapy (TRT) is a modern strategy in radiation oncology that aims to admini...
Thermal infrared imaging offers the advantage of all-weather capability, enabling non-intrusive me...
Molecular subtyping of breast cancer is crucial for personalized treatment and prognosis. Traditio...