Results 41 to 50 of about 703,591 (347)
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
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
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
ACM SIGKDD Explorations Newsletter, 2004 The goal of giving a well-defined meaning to information is currently shared by endeavors such as the Semantic Web as well as by current trends within Knowledge Management. They all depend on the large-scale formalization of knowledge and on the availability of formal metadata about information resources.
Cimiano, Philipp, Staab, Steffen
openaire +2 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
Google Research Football: A Novel Reinforcement Learning Environment [PDF]
AAAI Conference on Artificial Intelligence, 2019 Recent progress in the field of reinforcement learning has been accelerated by virtual learning environments such as video games, where novel algorithms and ideas can be quickly tested in a safe and reproducible manner.
Karol Kurach +10 more
semanticscholar +1 more source
A machine-learning based objective measure for ALS disease severity
npj Digital Medicine, 2022 Amyotrophic Lateral Sclerosis (ALS) disease severity is usually measured using the subjective, questionnaire-based revised ALS Functional Rating Scale (ALSFRS-R).
Fernando G. Vieira +7 more
doaj +1 more source
Systematic analysis of ChatGPT, Google search and Llama 2 for clinical decision support tasks
Nature CommunicationsIt is likely that individuals are turning to Large Language Models (LLMs) to seek health advice, much like searching for diagnoses on Google. We evaluate clinical accuracy of GPT-3·5 and GPT-4 for suggesting initial diagnosis, examination steps and ...
S. Sandmann +3 more
semanticscholar +1 more source