Results 161 to 170 of about 1,168,745 (259)

Interprofessional learning at primary healthcare centres. [PDF]

BMC Med Educ
Holst H, Sääf M, Elmqvist C, Pålsson B.   +3 more
europepmc   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Sex differences in task engagement and lapse rate during reward learning. [PDF]

Oxf Open Neurosci
Aguirre CG, Woo JH, Alhabbal L, Fujioka T, Moore R, Ye T, Castrellon JJ, Soltani A, Izquierdo A.   +8 more
europepmc   +1 more source

Short‐term response to biologic therapy in psoriatic arthritis (PsA) is not influenced by disease duration at initiation of therapy

Arthritis Care &Research, Accepted Article.
Objectives We aimed to determine whether the short‐term response to biologics in biologic‐naïve psoriatic arthritis (PsA) is better in patients initiating biologic treatment early in the disease course. Methods PsA patients who started biologic therapy from the year 2000 to 2025 were included for analysis. Patients considered in the early treatment (ET)
Sung Min Cho, Shangyi Gao, Daniel Pereira, Richard J. Cook, Dafna D. Gladman   +4 more
wiley   +1 more source

Applications of artificial intelligence and machine learning for cardiovascular risk management in the public health policy context: a systematic review protocol. [PDF]

BMJ Open
Arias-Ortiz WA, Ibañez-Pinilla EA, Cala-Vitery FE.   +2 more
europepmc   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Correction: Global learning opportunities within social innovation in health (GLOWS): A modified Delphi process to identify and pilot core competencies for learning. [PDF]

PLoS One
Wallace E, Tao Y, Aribodor OB, Zhu Z, Borbón A, Halpaap B, Chakhame BM, Jacob EC, Ahmed F, Francis JM, Septiawan KG, Mawuli K, Mutisya L, Ekasari MP, Azugo NO, Fourie T, Ruiz AS, Alger J, Mier AR, Tang W, Aidoo-Frimpong G, Nanono J, Montealto JJA, Ezezika O, Kåks P, Shan W, Mier-Alpano JD, Marley G, Chen E, Tucker JD.   +29 more
europepmc   +1 more source

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, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Robotic cholecystectomy during surgical training: learning curve and perioperative outcomes of 441 consecutive cases in a high-volume teaching center. [PDF]

J Robot Surg
Gravante G, Mita MT, Altamura A, Barbieri V, Bianco G, Benedicenti S, Catamerò A, Clemente L, Giaracuni G, Grillea G, Leone B, Morelli G, Picciariello A, Puglisi G, Sorge R, Rubichi F, Viola MG.   +16 more
europepmc   +1 more source