The practice of medicine is rapidly transforming as a result of technological breakthroughs.
Artificial intelligence (AI) systems are becoming more and more relevant in medicine and …

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

Background The purpose of this study was to develop and evaluate an algorithm for bone
segmentation on whole-body CT using a convolutional neural network (CNN). Methods …

Prostate-specific membrane antigen (PSMA)–targeting PET imaging is becoming the
reference standard for prostate cancer staging, especially in advanced disease. Yet, the …

Calculation of radiation dosimetry in targeted nuclear medicine therapies is traditionally
resource-intensive, requiring multiple posttherapy SPECT acquisitions. An alternative …

Abstract Purpose of Review Augmented reality (AR) is becoming increasingly popular in
modern-day medicine. Computer-driven tools are progressively integrated into clinical and …

Deep learning is a quite useful and proliferating technique of machine learning. Various
applications, such as medical images analysis, medical images processing, text …

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

Deep learning integration in cancer diagnosis enhances accuracy and diagnosis speed
which helps clinical decision-making and improves health outcomes. Despite all these …

Introduction This study aimed to test the accuracy of a new automatic deep learning–based
approach on the basis of convolutional neural networks (CNN) for fully automatic …