Over the past decade, artificial intelligence (AI) has contributed substantially to the resolution
of various medical problems, including cancer. Deep learning (DL), a subfield of AI, is …

Recent advancements in artificial intelligence (AI) in the domain of radiation therapy (RT)
and their integration into modern software-based systems raise new challenges to the …

Nasopharyngeal carcinoma (NPC) is a malignant epithelial tumor originating in the
nasopharynx and has a high incidence in Southeast Asia and North Africa. To develop these …

Purpose For the cancer in the head and neck (HaN), radiotherapy (RT) represents an
important treatment modality. Segmentation of organs‐at‐risk (OARs) is the starting point of …

Background In breast cancer patients receiving radiotherapy (RT), accurate target
delineation and reduction of radiation doses to the nearby normal organs is important …

Abstract Introduction Artificial Intelligence-based Medical Devices (AI-based MDs) are
experiencing exponential growth in healthcare. This study aimed to investigate whether …

Nowadays, artificial intelligence‐based medicine plays an important role in determining
correlations not comprehensible to humans. In addition, the segmentation of organs at risk is …

Purpose To investigate multiple deep learning methods for automated segmentation (auto‐
segmentation) of the parotid glands, submandibular glands, and level II and level III lymph …

Generative artificial intelligence, especially with regard to the generative adversarial network
(GAN), is an important research area in radiology as evidenced by a number of literature …

Background Contouring error is one of the top failure modes in radiation treatment. Multiple
efforts have been made to develop tools to automatically detect segmentation errors. Deep …