Ioannis Daskalopoulos

TL;DR: How the cloudUPDRS system addresses two key challenges towards meeting essential consistency and efficiency requirements is discussed, including how to reduce test duration from approximately 25 minutes typically required by an experienced patient, to below 4 minutes, a threshold identified as critical to obtain significant improvements in clinical compliance.

TL;DR: The cloudUPDRS system addresses two key challenges towards meeting essential consistency and efficiency requirements, namely: how to ensure high-quality data collection and how to reduce test duration from approximately 25 min typically required by an experienced patient, to below 4 min, a threshold identified as critical to obtain significant improvements in clinical compliance.

TL;DR: In this paper , a multilabel vision transformer model, ForestViT, was proposed to capture the various relevant land uses from satellite images, which leverages the benefits of the self-attention mechanism, obviating any convolution operations involved in commonly used deep learning models utilized for deforestation detection.

TL;DR: Smartphone-based measures of motor severity have predictive value at the subject level and future studies should mitigate against subjective and feature selection biases and assess performance across a range of motor features as part of a broader strategy to avoid overly optimistic performance estimates.

TL;DR: This paper presents the experience with the Sensor Cube platform and, in particular, the implications of its ultra-compact design on system performance, specifically as it relates to the characteristics and limitations of the radio unit.