Latest AI and machine learning research in lung cancer for healthcare professionals.
BACKGROUND: Pancreatic adenocarcinoma (PAAD), known for its high lethality, has not been thoroughly ...
The integration of multidisciplinary tumor boards (MTBs) is fundamental in delivering state-of-the-a...
COVID-19 has resulted in a significant global impact on health, the economy, education, and daily li...
OBJECTIVE: A deep neural network (DNN) was trained to generate a multiparametric ultrasound (mpUS) v...
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...
Artificial intelligence (AI) radiation therapy (RT) planning holds promise for enhancing the consist...
PURPOSE: Conventional normal tissue complication probability (NTCP) models for patients with head an...
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...
Osteosarcoma (OS) is the most common primary malignant tumour of the bone with high mortality. Here,...
Over the last decades, the use of artificial intelligence, machine learning and deep learning in med...
BACKGROUND: Radiotherapy has been crucial in prostate cancer treatment. However, manual segmentation...
A precise radiotherapy plan is crucial to ensure accurate segmentation of glioblastomas (GBMs) for r...
Head and neck squamous cell carcinoma (HNSCC) is a complex malignancy that requires a multidisciplin...
PURPOSE: Convolutional Neural Networks (CNNs) have emerged as transformative tools in the field of r...