Latest AI and machine learning research in lung cancer for healthcare professionals.
INTRODUCTION: Thanks to perfect visualization and high maneuverability of instruments, the robotic t...
OBJECTIVE: The objective of this study is to analyze the epidemiological presentation and survival o...
BACKGROUND: In view of the underlying health risks posed by X-ray radiation, the main goal of the pr...
Robot-assisted lung segmentectomy will be covered by insurance starting 2020. The results of the Jap...
OBJECTIVES: To differentiate the primary small-cell lung cancer (SCLC) and non-small-cell lung cance...
BACKGROUND: Lung cancer has the highest mortality rate among cancers. Radiation therapy (RT) is one ...
PURPOSE: We developed a deep neural network that queries the lung computed tomography-derived featur...
The use of digital breast tomosynthesis (DBT) in breast cancer screening has become widely accepted,...
Many cancer patients die due to their treatment failing because of their disease's resistance to che...
The purpose of this study was to compare the effect of robotic thyroid lobectomy via Bilateral Axlio...
Artificial Intelligence and machine learning are novel technologies that will change the way veterin...
The prevalence and pervasiveness of artificial intelligence (AI) with medical images in veterinary a...
Instantaneous photosynthetically available radiation (IPAR) at the ocean surface and its vertical pr...
Many technological advances have entered the clinical routine of Computed Tomography (CT) imaging. T...
To examine the safety and feasibility of three-dimensional (3D) surgical planning system for guidin...
Radiation oncology is a field that heavily relies on new technology. Data science and artificial int...
Recent advancements in artificial intelligence (AI) in the domain of radiation therapy (RT) and thei...
Automatic image registration plays an important role in many aspects of the radiation oncology workf...
MOTIVATION: The molecular subtyping of gastric cancer (adenocarcinoma) into four main subtypes based...
BACKGROUND: Artificial intelligence (AI) and deep learning have shown great potential in streamlinin...
Graves disease (GD) and type 2 diabetes mellitus (T2DM) both impair liver function; we therefore exp...