Latest AI and machine learning research in breast cancer for healthcare professionals.
A large-scale malicious or accidental radiological event can expose vast numbers of people to ionizi...
This paper introduces a novel computational method to simulate and predict radiation dose profiles i...
The introduction of the first whole-body CT scanner in 1974 marked the beginning of cross-sectional ...
BACKGROUND: The biological phenotype of tumours evolves during neoadjuvant chemotherapy (NAC). Accur...
Breast cancer patients who have pathological complete response (pCR) to neoadjuvant chemotherapy (NA...
BACKGROUND: Neoadjuvant chemotherapy (NAC) can downstage tumors and axillary lymph nodes in breast c...
The individual prognosis of chemotherapy is quite different in non-small cell lung cancer (NSCLC). T...
BACKGROUND: This study was designed to establish radiation pneumonitis (RP) prediction models using ...
Developments in artificial intelligence, particularly convolutional neural networks and deep learnin...
Reinforcement learning takes sequential decision-making approaches by learning the policy through tr...
Organoids have immense potential as ex vivo disease models for drug discovery and personalized drug ...
BACKGROUND: Online adaptive radiation therapy (RT) using hybrid magnetic resonance linear accelerato...
Low-temperature plasmas have quickly emerged as alternative and unconventional types of radiation th...
The continuous deterioration of the environment due to extensive industrialization and urbanization ...
Although the overall incidence of pediatric oncological diseases tends to increase over the years, i...
PURPOSE: We developed a deep learning (DL) model for fast deformable image registration using 2-dime...
Stem cell-derived organoids are a promising tool to model native human tissues as they resemble huma...
Accurate clinical target volume (CTV) delineation is important for head and neck intensity-modulated...
. Deep learning (DL) models for fluence map prediction (FMP) have great potential to reduce treatmen...
INTRODUCTION: Predicting pathological complete response (pCR) for patients receiving neoadjuvant che...
For accurate respiration gated radiation therapy, compensation for the beam latency of the beam cont...