Background Artificial intelligence (AI) holds the promise of supporting nurses' clinical
decision-making in complex care situations or conducting tasks that are remote from direct …

Objective: To identify and highlight research papers representing noteworthy developments
in signals, sensors, and imaging informatics in 2020. Method: A broad literature search was …

Objectives: This review presents research papers highlighting notable developments and
trends in sensors, signals, and imaging informatics (SSII) in 2022. Method: We performed a …

Robot-assisted arthroplasty is likely to grow exponentially in the years to come. While most
surgeons recognize their superiority in refining alignment and improving component …

Objectives Segmentation is crucial in medical imaging. Deep learning based on
convolutional neural networks showed promising results. However, the absence of large …

Resumo Organs at Risk (OARs) are healthy tissues around cancer that must be preserved in
radiotherapy (RT). The spinal cord and esophagus are crucial OARs. In this work, we …

We present a synopsis of publications focused on machine learning (ML) or artificial
intelligence (AI) applications in healthcare for the year 2019. We appreciate the work of …

This doctoral thesis explores computational approaches for signal analysis and information
extraction. In view of scientific challenges for developing innovative solutions with a broad …