Latest AI and machine learning research in lung cancer for healthcare professionals.
BACKGROUND: This study was designed to establish radiation pneumonitis (RP) prediction models using ...
BACKGROUND: This study, based on multicentre cohorts, aims to utilize computed tomography (CT) image...
Developments in artificial intelligence, particularly convolutional neural networks and deep learnin...
Reinforcement learning takes sequential decision-making approaches by learning the policy through tr...
BACKGROUND: Online adaptive radiation therapy (RT) using hybrid magnetic resonance linear accelerato...
Different biomarkers based on genomics variants have been used to predict the response of patients t...
A model's ability to express its own predictive uncertainty is an essential attribute for maintainin...
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 ...
METHODS: Patients (363 in total) with stomach adenocarcinoma from The Cancer Genome Atlas (TCGA) coh...
OBJECTIVES: Lobectomy may unnecessarily resect healthy lung parenchyma in Stage 1A non-small cell lu...
PURPOSE: We developed a deep learning (DL) model for fast deformable image registration using 2-dime...
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...
Identification of novel non-invasive biomarkers is critical for the early diagnosis of lung adenocar...
For accurate respiration gated radiation therapy, compensation for the beam latency of the beam cont...
An 85-year-old woman presented with a stomachache after a meal and was admitted to the previous clin...
It is difficult for traditional signal-recognition methods to effectively classify and identify mult...
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) have resulted in significant enth...
Genes are composed of DNA and each gene has a specific sequence. Recombination or replication within...
OBJECTIVE: To develop and validate a deep learning (DL) signature for predicting lymph node (LN) met...