Latest AI and machine learning research in lung cancer for healthcare professionals.
The new da Vinci® single-port (SP) robotic system, which utilizes a smaller incision and work space ...
Image reconstruction processing in computed tomography (CT) has evolved tremendously since its creat...
The ability to sculpt complex reference waves and probe diverse radiation field patterns have facili...
The last two decades have witnessed an extraordinary evolution of automation and artificial intellig...
Antibodies are an established class of human therapeutics. Epitope characterization is an important ...
Early diagnosis of lung cancer to increase the survival rate, which is currently at a low range of m...
INTRODUCTION: The use of artificial intelligence (AI) has increased in medical radiation science, wi...
Currently early diagnosis of malignant lesions at the periphery of lung parenchyma requires guidance...
A large-scale malicious or accidental radiological event can expose vast numbers of people to ionizi...
In this paper, a horn-shaped strip antenna exponentially tapered carved on a multilayer dielectric s...
OBJECTIVE: To analyze the short-term effect of Da Vinci robot-assisted thoracoscopic (RATS) bronchia...
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 ...
The benefits of robot-assisted laparoscopic surgery (RALS) for rectal cancer remain controversial. O...
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...