Results 51 to 60 of about 662,370 (318)
Arthritis Care &Research, EarlyView.Objective We developed a novel electronic health record sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk +16 more
wiley +1 more source
Detecting shortcut learning for fair medical AI using shortcut testing
Nature Communications, 2023 Machine learning (ML) holds great promise for improving healthcare, but it is critical to ensure that its use will not propagate or amplify health disparities.
Alexander Brown +5 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
wiley +1 more source
Time-Aware Language Models as Temporal Knowledge Bases
Transactions of the Association for Computational Linguistics, 2022 Many facts come with an expiration date, from the name of the President to the basketball team Lebron James plays for. However, most language models (LMs) are trained on snapshots of data collected at a specific moment in time.
Bhuwan Dhingra +5 more
doaj +1 more source
Google Scholar : the new generation of citation indexes [PDF]
, 2005 Google Scholar (http://scholar.google.com/) provides a new method of locating potentially relevant articles on a given subject by identifying subsequent articles that cite a previously published article.
Noruzi, Alireza
core
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Transforming wearable data into personal health insights using large language model agents
Nature CommunicationsDeriving personalized insights from popular wearable trackers requires complex numerical reasoning that challenges standard LLMs, necessitating tool-based approaches like code generation.
Mike A. Merrill +19 more
doaj +1 more source
Designed Lewis Acid–Base Passivation for High Performance Perovskite Solar Cells
Advanced Functional Materials, EarlyView.ABSTRACT Silicon's high cost and long energy payback time remain major barriers to the global expansion of solar power. In contrast, metal–halide perovskites offer abundant, solution‐processable absorbers, and have achieved efficiencies of 25%–30%, positioning them as strong competitors to silicon.
Afna Manaf +4 more
wiley +1 more source
Using large language models to accelerate communication for eye gaze typing users with ALS
Nature CommunicationsAccelerating text input in augmentative and alternative communication (AAC) is a long-standing area of research with bearings on the quality of life in individuals with profound motor impairments.
Shanqing Cai +15 more
doaj +1 more source
Bridging the Privacy Accounting Gap in DP-SGD
The Journal of Privacy and ConfidentialityDifferentially Private Stochastic Gradient Descent (DP-SGD) is one of the most widely used algorithms for private machine learning. Due to its efficiency, most practical implementations of DP-SGD shuffle the training examples and divide them into fixed ...
Lynn Chua +8 more
doaj +1 more source