Latest AI and machine learning research in lung cancer for healthcare professionals.
The purpose of this study was to assess, by analyzing features of the primary tumor with F-FDG PET,...
Lung cancer is one of the most common cancer types worldwide and causes more than one million deaths...
OBJECTIVES: The evaluation of lymph node (LN) status by radiologists based on preoperative computed ...
PURPOSE: Basal cell carcinoma (BCC) is the most commonly diagnosed cancer and the number of diagnosi...
Cancer classification is a topic of major interest in medicine since it allows accurate and efficien...
drug design actively seeks to use sets of chemical rules for the fast and efficient identification ...
We present DeepDose, a deep learning framework for fast dose calculations in radiation therapy. Give...
BACKGROUND: Interstitial lung disease requires frequent re-examination, which directly causes excess...
Radiomic features achieve promising results in cancer diagnosis, treatment response prediction, and ...
Ontologies are a formal, computer-compatible method for representing scientific knowledge about a gi...
To compare the perioperative, functional, and oncologic outcomes of robot-assisted partial nephrect...
PURPOSE: Using standard-of-care CT images obtained from patients with a diagnosis of non-small cell ...
Triple-negative breast cancer (TNBC) cells are deficient in estrogen, progesterone and ERBB2 recepto...
BACKGROUND: IBM Watson for Oncology (WFO) provides physicians with evidence-based treatment options....
Non-small cell lung cancer (NSCLC) is one of the most common lung cancers worldwide. Accurate progno...
Many drugs are developed for commonly occurring, well studied cancer drivers such as vemurafenib for...
PURPOSE: Spread through air space (STAS) is a novel invasive pattern of lung adenocarcinoma and is a...
Artificial intelligence (AI) and machine learning (ML) approaches have caught the attention of many ...
The purpose of this study was to identify germline single nucleotide polymorphisms (SNPs) that optim...
PURPOSE: In clinical practice, invasiveness is an important reference indicator for differentiating ...
PURPOSE: Limiting the dose to the rectum can be one of the most challenging aspects of creating a do...