Latest AI and machine learning research in lung cancer for healthcare professionals.
BACKGROUND: An artificial intelligence (AI)-assisted contouring system benefits radiation oncologist...
Cancer early detection increases the chances of survival. Some cancer types, like pancreatic cancer,...
Endocervical adenocarcinoma (EAC) is an aggressive type of endocervical cancer. At present, molecula...
BACKGROUND: The da Vinci Si version robot lacks a vascular stapler that can be controlled by the ope...
Intraoperative detection of the marginal tissues is the last and most important step to complete the...
Although deep learning networks applied to digital images have shown impressive results for many pat...
OBJECTIVE: Radiation oncology is a continually evolving speciality. With the development of new imag...
Radiation therapy requires clinical linear accelerators to be mechanically and dosimetrically calibr...
BACKGROUND: The present study aimed to assess the short-term consequences of biportal robot-assisted...
PURPOSE: The aim of this study is to improve the performance of machine learning (ML) models in pred...
We report the ability of two deep learning-based decision systems to stratify non-small cell lung ca...
Early identification of epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncoge...
PURPOSE: Radiation pneumonitis (RP) is the main source of toxicity in thoracic radiotherapy. This st...
INTRODUCTION: Implementation of Artificial Intelligence (AI) into medical imaging is much debated. D...
The advantages of a multi-input display system platform in robotic thoracic surgery have not been we...
Cancer-associated fibroblasts (CAFs) participate in critical processes in the tumor microenvironment...
Both histologic subtypes and tumor mutation burden (TMB) represent important biomarkers in lung canc...
The selection of genes that are important for obtaining gene expression data is challenging. Here, w...
BACKGROUND: Patients with urolithiasis undergo radiation overexposure from computed tomography (CT) ...
The Covid-19 European outbreak in February 2020 has challenged the world's health systems, eliciting...
Developing deep learning models to analyze histology images has been computationally challenging, as...