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 …

Radiotherapy is a discipline closely integrated with computer science. Artificial intelligence
(AI) has developed rapidly over the past few years. With the explosive growth of medical big …

The interest in machine learning (ML) has grown tremendously in recent years, partly due to
the performance leap that occurred with new techniques of deep learning, convolutional …

The major aim of radiation therapy is to provide curative or palliative treatment to cancerous
malignancies while minimizing damage to healthy tissues. Charged particle radiotherapy …

Low-carbon lifestyles are key to climate change mitigation, biodiversity conservation, and
keeping the Earth in a safe operating space. Understanding the global feasibility and drivers …

Objectives This paper aimed to identify the technology frontiers of artificial intelligence-
assisted pathology based on patent citation network. Methods Patents related to artificial …

Purpose: Surface-guided radiation therapy (SGRT) application has limitations. This study
aimed to explore the relationship between patient characteristics and their external/internal …

Simple Summary The recommended treatment for locally advanced cervical cancer (LACC)
consists of chemoradiotherapy (CRT) followed by brachytherapy (BT). Although BT is …

Organ motion as a result of respiratory and cardiac motion poses significant challenges for
the accurate delivery of radiotherapy to both the thorax and the upper abdomen. Modern …

The application of Deep Learning (DL) for medical diagnosis is often hampered by two
problems. First, the amount of training data may be scarce, as it is limited by the number of …