High-grade gliomas (World Health Organization grades III and IV) are the most frequent and
fatal brain tumors, with median overall survivals of 24–72 and 14–16 months, respectively …

Given growing clinical needs, in recent years Artificial Intelligence (AI) techniques have
increasingly been used to define the best approaches for survival assessment and …

Simple Summary Existing research on predicting biochemical recurrence after prostate
surgery has been insufficient. Here, we aimed to predict biochemical recurrence after radical …

Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …

Artificial Intelligence (AI) has the potential to revolutionize several aspects of human life, and
medicine is one of them. For cell and gene‐based therapies, the application of AI is still in its …

Background Prognostic models for spinal cord astrocytoma patients are lacking due to the
low incidence of the disease. Here, we aim to develop a fully automated deep learning (DL) …

Objective Facial expressions have been served as clinical symptoms to convey mental
conditions in psychiatry. This paper proposes to recognize patients with schizophrenia …

Purpose Blood perfusion is an important physiological parameter that can be quantitatively
assessed using various imaging techniques. Blood flow prediction in laser speckle contrast …

Background Accurate and non-invasive estimation of MGMT promoter methylation status in
glioblastoma (GBM) patients is of paramount clinical importance, as it is a predictive …

Efficiently detecting and treating cancer at an early stage is crucial to improve the overall
treatment process and mitigate the risk of disease progression. In the realm of research, the …