Latest AI and machine learning research in lung cancer for healthcare professionals.
The current study aimed to predict lymphovascular invasion (LVI) using multiple machine learning alg...
OBJECTIVES: Although neoadjuvant immunochemotherapy has been widely applied in non-small cell lung c...
Delayed diagnosis and treatment resistance result in high pancreatic ductal adenocarcinoma (PDAC) mo...
Various forms of programmed cell death (PCD) collectively regulate the occurrence, development and m...
BACKGROUND: Cancer stem cells (CSCs) are a subset of cells within tumors that possess the unique abi...
PURPOSE: To develop and compare 3 different machine learning-based models of clinical information an...
BACKGROUND: Pancreatic adenocarcinoma (PAAD), known for its high lethality, has not been thoroughly ...
COVID-19 has resulted in a significant global impact on health, the economy, education, and daily li...
The integration of multidisciplinary tumor boards (MTBs) is fundamental in delivering state-of-the-a...
OBJECTIVE: To evaluate the feasibility of developing a computer vision algorithm that uses preoperat...
Untargeted metabolomic analysis using mass spectrometry provides comprehensive metabolic profiling, ...
PURPOSE: The formulation and optimization of radiation therapy plans are complex and time-consuming ...
This study aimed to establish and validate the efficacy of a nomogram model, synthesized through the...
Urinary toxicities are one of the serious complications of radiotherapy for prostate cancer, and dos...
BACKGROUND: Fluoroscopy guided interventions (FGIs) pose a risk of prolonged radiation exposure; per...
To evaluate the usefulness of low-keV multiphasic computed tomography (CT) with deep learning image ...
OBJECTIVES: To develop a machine learning-based pipeline for multi-organ/tissue personalized radiati...
PURPOSE: Conventional normal tissue complication probability (NTCP) models for patients with head an...
Artificial intelligence (AI) radiation therapy (RT) planning holds promise for enhancing the consist...
OBJECTIVE: To evaluate the methodological quality and the predictive performance of artificial intel...
Automatic tumor segmentation via positron emission tomography (PET) and computed tomography (CT) ima...