Latest AI and machine learning research in cardiovascular for healthcare professionals.
The article discusses an autonomous and flexible robotic system for radiation monitoring. The detect...
The patient was a 60-year-old man who underwent distal gastrectomy for gastric cancer. The pathologi...
After approximately 2.5 years of chemotherapy at the referred hospital, a 69-year-old man with doubl...
A 50-year-old woman was referred to our hospital due to breast cancer with multiple liver metastasis...
No large clinical trials have been conducted to prove the efficacy of peritoneal dissemination resec...
A 67-year-old man presented with bloody stools. Colonoscopy showed a small submucosal tumor in the l...
We report a case of breast cancer(T4b[skin], N1, M1[lung], ER-, PR-, HER2 3+)in a 63-year-old woman ...
The purpose of the study was to compare a 3D convolutional neural network (CNN) with the conventiona...
We hypothesize that convolutional neural networks (CNN) can be used to predict neoadjuvant chemother...
Positron emission tomography (PET) imaging is an effective tool used in determining disease stage an...
Within artificial intelligence, machine learning (ML) efforts in radiation oncology have augmented t...
Adversarial networks were developed to complete powerful image-processing tasks on the basis of exam...
Radiological measurements are reported in free text reports, and it is challenging to extract such m...
Exposure of the lenses to direct ionizing radiation during computed tomography (CT) examinations pre...
Rapid esophageal radiation treatment planning is often obstructed by manually adjusting optimization...
Chest digital tomosynthesis (CDT) provides more limited image information required for diagnosis whe...
Background uPA and PAI-1 are breast cancer biomarkers that evaluate the benefit of chemotherapy (CT)...
IMPORTANCE: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncolo...
Applying state-of-the-art machine learning techniques to medical images requires a thorough selectio...
To develop a convolutional neural network (CNN) algorithm that can predict the molecular subtype of ...
Breast cancer prognosis and administration of therapies are aided by knowledge of hormonal and HER2 ...