Featured Application Computational models based on artificial intelligence (AI) variants
have been developed and applied successfully in many areas, both inside and outside of …

The radiotherapy (RT) process from planning to treatment delivery is a multistep, complex
operation involving numerous levels of human-machine interaction and requiring high …

Introduction Emerging evidence suggests that data-driven support tools have found their
way into clinical decision-making in a number of areas, including cancer care. Improving …

Introduction Federated learning has the potential to perform decentralised analysis;
however, there are some obstacles to survival analyses as there is a risk of data leakage …

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 …

Simple Summary In radiotherapy treatment, organs at risk and target volumes are contoured
by the clinicians to prepare a dosimetry plan. In retrospective data, these structures are not …

Introduction Construction of the first Australian particle therapy (PT) centre is underway.
Establishment of a national registry, to be known as the Australian Particle Therapy Clinical …

Dalam makalah ini, akan diberikan gambaran mengenai penerapan kecerdasan buatan
dalam bidang medis, khususnya untuk pembuatan keputusan serta pengklasifikasian dalam …

Background There are limited data on survival prediction models in contemporary
inoperable non-small cell lung cancer (NSCLC) patients. The objective of this study was to …

Introduction Prediction models are useful to design personalised treatment. However, safe
and effective implementation relies on external validation. Retrospective data are available …