Results 221 to 230 of about 141,627 (286)

ChatGPT versus UpToDate in Preclinical Medical Education: Cross-Sectional Analysis Using Term Frequency-Inverse Document Frequency Cosine Similarity.

JMIR Med Educ
Thiru SS, Aksu NE, Chiang M, Gallagher DO, Furlong M, Prevou ER, Khanna AJ.   +6 more
europepmc   +1 more source

Large Language Model-Powered Diagnostic Co-Pilot ("CapyEngine") for Mental Disorders: Development, Evaluation, and Future Optimization Study. [PDF]

JMIR AI
Wang L, Jiang Y.
europepmc   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Electrohydrodynamic Fiber Pump With Dual‐Flow Channels

Advanced Intelligent Systems, EarlyView.
A dual‐channel electrohydrodynamic (EHD) fiber pump is introduced, which enables fluid flow inside and outside fully exposed helical electrodes. The dual‐channel design significantly enhances flow rate, pressure, and efficiency compared with the conventional design.
Yuya Shibahara, Rudrajyoti Das, Naoki Ogawa, Hideko Akai, Jun Shintake   +4 more
wiley   +1 more source

Accuracy, quality, and readability analyses of responses from large language models to questions on pediatric dental sedation. [PDF]

BMC Oral Health
Kocaoğlu MH, Demirel A, Kaya İ.
europepmc   +1 more source

Shapley Additive Explanation for Local Class Differentiation: Local Explainability for Class Differentiation in Classification Models

Advanced Intelligent Systems, EarlyView.
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna, Hugo A. Ordoñez Erazo, Carlos A. Cobos Lozada   +2 more
wiley   +1 more source

Optimization of University Counseling Consent Forms With Large Language Models: Multidimensional Comparative Evaluation.

J Med Internet Res
Luo J, Ma J, Zhan D, Zhou Y, Li J, Zhang L, Wang W.   +6 more
europepmc   +1 more source

Evaluating Accuracy of ChatGPT-4o in Automated Carbohydrate Estimation From Images as a Self-Management Tool for Adolescents With Type 1 Diabetes. [PDF]

J Diabetes Sci Technol
Johansen AR, Laursen IK, Jacobsen V, Møller ZH, Cichosz SL.   +4 more
europepmc   +1 more source

ChatGPT, et après ?

, 2023
openaire   +1 more source

Generalized Task‐Driven Design of Soft Robots via Reduced‐Order Finite Element Method‐Based Surrogate Modeling

Advanced Intelligent Systems, EarlyView.
A unified, reusable modeling pipeline enables task‐driven design of soft robots across actuator families and task scenarios. High‐fidelity simulations are compressed into compact pseudo‐rigid‐body joint surrogates, while a design‐conditioned meta‐model generates new surrogates from geometry parameters without rerunning finite element method.
Yao Yao, David Howard, Perla Maiolino
wiley   +1 more source