Latest AI and machine learning research in lung cancer for healthcare professionals.
To compare short-term functional and surgical outcomes of robot-assisted partial nephrectomy (RAPN) ...
OBJECTIVES: To explore the use of 70-kVp tube voltage combined with high-strength deep learning imag...
Background Ultra-low-dose (ULD) CT could facilitate the clinical implementation of large-scale lung ...
Acute kidney injury (AKI) after percutaneous coronary intervention (PCI) is associated with a signif...
To determine safety and feasibility of single-port Retzius-sparing robot-assisted radical prostatec...
A 79-year-old male former smoker presented with a T4 (>7 cm) adenocarcinoma of the right upper lobe....
Background Assessment of liver lesions is constrained as CT radiation doses are lowered; evidence su...
Signet ring cell carcinoma (SRCC) is a malignant tumor of the digestive system. This tumor has long ...
BACKGROUND: A tomographic patient model is essential for radiation dose modulation in x-ray computed...
Histopathological image analysis is the gold standard to diagnose cancer. Carcinoma is a subtype of ...
One way of reducing environmental pollution is to reduce our dependence on fossil fuels by replacing...
PURPOSE: The aim was to develop a novel artificial intelligence (AI)-guided clinical decision suppor...
BACKGROUND: Race coefficients of estimated glomerular filtration rate (eGFR) formulas may be partial...
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...
Histological stratification in metastatic non-small cell lung cancer (NSCLC) is essential to properl...
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 ...
BACKGROUND: The aim of our research was to prospectively explore the clinical value of a deep learni...
INTRODUCTION: Use of kidney replacement therapy (KRT) prediction models for guiding arteriovenous fi...
Diabetic nephropathy (DN), the leading cause of end-stage renal disease, has become a massive global...