Cancer therapy with accelerated charged particles is one of the most valuable biomedical
applications of nuclear physics. The technology has vastly evolved in the past 50 years, the …

Data mining and machine learning techniques are transforming the decision-making
process in the medical world. From using nomograms and expert advice, scientists are now …

The current prognostic tools for esophageal squamous cell carcinoma (ESCC) lack the
necessary accuracy to facilitate individualized patient management strategies. To address …

Head and neck radiotherapy induces important toxicity, and its efficacy and tolerance vary
widely across patients. Advancements in radiotherapy delivery techniques, along with the …

Objective This state of the art review aims to examine contemporary advances in
applications of artificial intelligence (AI) to the screening, detection, management, and …

Background Diffuse midline gliomas (DMGs) encompass a set of tumors, and those tumors
with H3K27 M mutation carry a poor prognosis. In recent years, machine learning (ML) …

Artificial intelligence (AI) is revolutionizing head and neck cancer (HNC) care by providing
innovative tools that enhance diagnostic accuracy and personalize treatment strategies. This …

The present era has seen a surge in artificial intelligence-related research in oncology,
mainly using deep learning, because of powerful computer hardware, improved algorithms …

Abstract Oral Squamous Cell Carcinoma (OSCC) is an aggressive tumor with a poor
prognosis. Accurate and timely diagnosis is therefore essential for reducing the burden of …

Objective The goal of this study was to evaluate the efficacy of machine learning (ML)
techniques in predicting survival for chordoma patients in comparison with the standard Cox …