In prostate cancer (PCa), the use of new radiopharmaceuticals has improved the accuracy of
diagnosis and staging, refined surveillance strategies, and introduced specific and …

Artificial intelligence (AI) has recently attracted much attention for its potential use in
healthcare applications. The use of AI to improve and extract more information out of …

Background Artificial intelligence (AI) is about to transform medical imaging. The Research
Consortium for Medical Image Analysis (RECOMIA), a not-for-profit organisation, has …

The task of clinical interpretation of medical images starts with the scanning of the presented
image to detect the suspicious finding (“observation” in RadLex terminology (RID5) 1 which …

Artificial intelligence (AI) has evolved significantly in the past few decades. This thriving
trend has also been seen in medicine in recent years, particularly in the field of imaging …

Here, we aimed to develop and validate a fully automated artificial intelligence (AI)-based
method for the detection and quantification of suspected prostate tumour/local recurrence …

Introduction Lymph node metastases are a key prognostic factor in prostate cancer (PCa),
but detecting lymph node lesions from PET/CT images is a subjective process resulting in …

A61B6/5229—Devices using data or image processing specially adapted for radiation
diagnosis involving processing of medical diagnostic data combining image data of a …

The underlying premise of this forward-looking communication is the view put forth in recent
years that the entire atherosclerotic process and disease burden should be the focus of …

We propose a fully automatic multi-task Bayesian model, named Bayesian Sequential
Network (BSN), for predicting high-grade (Gleason≥ 8) prostate cancer (PCa) prognosis …