Latest AI and machine learning research in lung cancer for healthcare professionals.
Crohn's disease (CD) is a chronic inflammatory bowel condition, and colon adenocarcinoma (COAD), as ...
In recent years, immune checkpoint inhibitors (ICIs) has emerged as a fundamental component of the s...
RATIONALE AND OBJECTIVES: To develop and validate a multimodal deep learning (DL) model based on com...
Patients with Non-Small Cell Lung Cancer (NSCLC) present a variety of clinical symptoms, such as dys...
BACKGROUND AND PURPOSE: Accurate segmentation of the clinical target volume (CTV) is essential to de...
Artificial intelligence (AI) is transforming medical radiation applications by handling complex data...
Deep-tissue solid cancer treatment has a poor prognosis, resulting in a very low 5-year patient surv...
PURPOSE: To evaluate the diagnostic ability and methodological quality of ML models in detecting Pan...
BACKGROUND: Modern radiation therapy techniques, such as intensity-modulated radiation therapy (IMRT...
To develop a deep reinforcement learning (DRL) agent to self-interact with the treatment planning sy...
The development of phosphorylation-suppressing inhibitors targeting Signal Transducer and Activator ...
BACKGROUND/OBJECTIVES: Calculating the radiation dose from CT in F-PET/CT examinations poses a signi...
Artificial intelligence (AI) has significantly impacted various fields, including oncology. This com...
In the contemporary context of a burgeoning energy crisis, the accurate and dependable prediction of...
Gastric cancer remains one of the deadliest cancers globally due to delayed detection and limited tr...
PURPOSE: To establish an artificial intelligence (AI)-empowered multistep integrated (MSI) radiation...
BACKGROUND: Manual contour corrections during fractionated magnetic resonance (MR)-guided radiothera...
BACKGROUND AND PURPOSE: Knowledge-based planning (KBP) can consistently and efficiently create high-...
BACKGROUND: The most common type of lung cancer is non-small cell lung cancer (NSCLC), accounting fo...
INTRODUCTION: Tumor-infiltrating lymphocytes are both prognostic and predictive biomarkers for immun...
BACKGROUND: The low tube-voltage technique (e.g., 80Â kV) can efficiently reduce the radiation dose a...