Results 181 to 190 of about 176,171 (277)
Our journal in the era of artificial intelligence. [PDF]
Etzel R, Grandjean P.
europepmc +1 more source
Risky or rigorous? Developing trustworthiness criteria for AI‐supported qualitative data analysis
Anatomical Sciences Education, EarlyView.
Michelle D. Lazarus +4 more
wiley +1 more source
Large Language Model-Based Text Recognition and Structured Data Extraction for Dietary Surveys. [PDF]
Guan F +13 more
europepmc +1 more source
A Guide to Bayesian Optimization in Bioprocess Engineering
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska +5 more
wiley +1 more source
Generative Artificial Intelligence and Large Language Models in Paediatric Dentistry: A Scoping Review. [PDF]
Akitomo T +4 more
europepmc +1 more source
Prioritizing Feasible and Impactful Actions to Enable Secure AI Development and Use in Biology
ABSTRACT As artificial intelligence continues to enhance biological innovation, the potential for misuse must be addressed to fully unlock the potential societal benefits. While significant work has been done to evaluate general‐purpose AI and specialized biological design tools (BDTs) for biothreat creation risks, actionable steps to mitigate the risk
Josh Dettman +4 more
wiley +1 more source
The primary aim of this study is to emphasise the importance of applying consistent standards in the adjudication of human rights matters, particularly in the context of sports disputes.
Bianca van der Merwe, Rian Cloete
doaj
Large language models and conditional rules in clinical decision support systems. [PDF]
Sivasothy S +8 more
europepmc +1 more source
ABSTRACT Neurological disorders represent a critical domain within global health, necessitating advanced interventions to address complex pathologies such as tumors, functional disorders, and cerebrovascular diseases. Despite the proven benefits of early intervention, current treatment paradigms face significant challenges: (1) limited precision in ...
Qing Ye +14 more
wiley +1 more source
Knowledge integration for physics-informed symbolic regression using pre-trained large language models. [PDF]
Taskin B, Xie W, Lazebnik T.
europepmc +1 more source

