Artificial intelligence (AI) is making computer systems capable of executing human brain
tasks in many fields in all aspects of daily life. The enhancement in information and …

Predicting future urban health status is significant in terms of identifying urban diseases and
urban planning. Current studies have focused on using machine learning and deep learning …

Artificial intelligence (AI) and machine learning (ML) are becoming critical in developing and
deploying personalized medicine and targeted clinical trials. Recent advances in ML have …

Objective Radiation oncology is a continually evolving speciality. With the development of
new imaging modalities and advanced imaging processing techniques, there is an …

Purpose Treatment-related toxicity after irradiation of brain tumours has been underreported
in the literature. Furthermore, there is considerable heterogeneity on how and when toxicity …

Thalassaemia is a common hereditary haemolytic anaemia. Mild cases of this disease may
be asymptomatic, while patients with severe thalassaemias require high-dose blood …

A look through almost 2000 abstracts submitted for the upcoming ESTRO 2022 meeting
together with a glance back on the 2021 papers published in Radiotherapy and Oncology …

Simple Summary This review examines the latest technologies using machine learning (ML)
methods, including the use of convolutional neural networks, decision trees, and generative …

The aim of Radiotherapy & Oncology is to publish original research and topics of interest for
radiation oncology. This includes publishing guidelines and recommendations from the …

Healthcare system facilitates the treatment of patients with the support of wearable, smart,
and handheld devices, as well as many other devices. These devices are producing a huge …