Artificial intelligence (AI) has the potential to fundamentally alter the way medicine is
practised. AI platforms excel in recognizing complex patterns in medical data and provide a …

Manual segmentation of target structures and organs at risk is a crucial step in the
radiotherapy workflow. It has the disadvantages that it can require several hours of clinician …

Rubin et al, 1, 2, 3 Emami et al, 4, 5 and Quantitative Analyses of Normal Tissue Effects in
the Clinic (QUANTEC) 6 provided estimates of dose, volume, and outcome data primarily for …

Perfect for radiation oncology physicians and residents needing a multidisciplinary,
treatment-focused resource, this updated edition continues to provide the latest knowledge …

Purpose To advance fair and consistent comparisons of dose prediction methods for
knowledge‐based planning (KBP) in radiation therapy research. Methods We hosted …

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 …

The emergence of artificial general intelligence (AGI) is transforming radiation oncology. As
prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can …

Over the past decade, data recorded (due to digitization) in healthcare sectors have
continued to increase, intriguing the thought about big data in healthcare. There already …

Abstract Background and purpose The Global Quality Assurance of Radiation Therapy
Clinical Trials Harmonization Group (GHG) is a collaborative group of Radiation Therapy …

Natural language processing (NLP), which aims to convert human language into
expressions that can be analyzed by computers, is one of the most rapidly developing and …