Latest AI and machine learning research in breast cancer for healthcare professionals.
Bladder cancer (BCa) is the most common malignancy of the urinary tract and the most expensive malig...
To determine safety and feasibility of single-port Retzius-sparing robot-assisted radical prostatec...
Magnetic micro-/nanorobots have been regarded as a promising platform for targeted drug delivery, an...
Background Assessment of liver lesions is constrained as CT radiation doses are lowered; evidence su...
Lung infection seriously affects the effect of chemotherapy in patients with lung cancer and increas...
Breast cancer is one of the leading causes of death among women. Early detection of breast cancer ca...
BACKGROUND: A tomographic patient model is essential for radiation dose modulation in x-ray computed...
One way of reducing environmental pollution is to reduce our dependence on fossil fuels by replacing...
Breast cancer incidence has been rising steadily during the past few decades. It is the second leadi...
PURPOSE: The aim was to develop a novel artificial intelligence (AI)-guided clinical decision suppor...
Cancer subtype classification helps us to understand the pathogenesis of cancer and develop new canc...
Photodynamic (PDT) and photothermal therapies (PTT) are emerging treatments for tumour ablation. Org...
Applications of deep learning and other artificial intelligence techniques play an increasing role i...
Cerenkov luminescence imaging (CLI) was successfully implemented in the intraoperative context as a ...
Artificial intelligence, and in particular deep learning using convolutional neural networks, has be...
Federated learning is a novel framework that enables resource-constrained edge devices to jointly le...
While active efforts are advancing medical artificial intelligence (AI) model development and clinic...
PURPOSE: To develop a denoising convolutional neural network-based image processing technique and in...
Computational approaches including machine learning, deep learning, and artificial intelligence are ...
Positron emission tomography-computed tomography (PET-CT) is regarded as the imaging modality of cho...
PURPOSE: Applications of deep learning (DL) are essential to realizing an effective adaptive radioth...