Results 11 to 20 of about 377,154 (313)
Subtle adversarial image manipulations influence both human and machine perception
Nature Communications, 2023 Although artificial neural networks (ANNs) were inspired by the brain, ANNs exhibit a brittleness not generally observed in human perception. One shortcoming of ANNs is their susceptibility to adversarial perturbations—subtle modulations of natural ...
Vijay Veerabadran +10 more
doaj +1 more source
DeepNull models non-linear covariate effects to improve phenotypic prediction and association power
Nature Communications, 2022 GWAS often assume a linear phenotype-covariate relationship which may not hold in practice. Here the authors present DeepNull, in which they apply deep learning to identify and adjust for complex non-linear relationships, improving phenotypic prediction ...
Zachary R. McCaw +7 more
doaj +1 more source
Accelerating eye movement research via accurate and affordable smartphone eye tracking
Nature Communications, 2020 Progress in eye movement research has been limited since existing eye trackers are expensive and do not scale. Here, the authors show that smartphone-based eye tracking achieves high accuracy comparable to state-of-the-art mobile eye trackers ...
Nachiappan Valliappan +10 more
doaj +1 more source
Interpretable survival prediction for colorectal cancer using deep learning
npj Digital Medicine, 2021 Deriving interpretable prognostic features from deep-learning-based prognostic histopathology models remains a challenge. In this study, we developed a deep learning system (DLS) for predicting disease-specific survival for stage II and III colorectal ...
Ellery Wulczyn +22 more
doaj +1 more source
Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithms
Communications Medicine, 2022 Bae et al. prospectively evaluated smartphone camera-based techniques for measuring heart rate and respiratory rate. They found measurements were accurate across a range of pre-defined subgroups.
Sean Bae +22 more
doaj +1 more source
EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records
npj Digital Medicine, 2023 Privacy concerns often arise as the key bottleneck for the sharing of data between consumers and data holders, particularly for sensitive data such as Electronic Health Records (EHR).
Jinsung Yoon +13 more
doaj +1 more source
Scalable and accurate deep learning with electronic health records
npj Digital Medicine, 2018 Artificial intelligence: Algorithm predicts clinical outcomes for hospital inpatients Artificial intelligence outperforms traditional statistical models at predicting a range of clinical outcomes from a patient’s entire raw electronic health record (EHR).
Alvin Rajkomar +34 more
doaj +1 more source
Voices in Bioethics, 2022 Photo by Christian Wiediger on Unsplash INTRODUCTION Huge amounts of public data on the internet and the ease with which we regularly search it have resulted in the phenomenon called Patient-Targeted Googling (PTG). PTG occurs when a clinician conducts an online search for information about a patient through any search engine, internet database, or ...
openaire +4 more sources
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan
npj Digital Medicine, 2021 The COVID-19 pandemic has highlighted the global need for reliable models of disease spread. We propose an AI-augmented forecast modeling framework that provides daily predictions of the expected number of confirmed COVID-19 deaths, cases, and ...
Sercan Ö. Arık +28 more
doaj +1 more source
Power of data in quantum machine learning
Nature Communications, 2021 Expectations for quantum machine learning are high, but there is currently a lack of rigorous results on which scenarios would actually exhibit a quantum advantage.
Hsin-Yuan Huang +6 more
doaj +1 more source