Results 141 to 150 of about 103,994 (257)

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

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, Jennifer L. F. Lee, Evelyne Vinet, Arielle Mendel, Christian A. Pineau, Fares Kalache, Louis‐Pierre Grenier, Sasha Bernatsky   +7 more
wiley   +1 more source

IoT-Driven Robust Bearing Fault Diagnosis for Induction Motors Under Operating-Condition Shift. [PDF]

Sensors (Basel)
Kaya ŞM, Jobani AE.
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

Machine Learning-Based Foreign Object Detection in Wireless EV Charging Using Planar Magnetic Induction Tomography. [PDF]

Sensors (Basel)
Abdul Vahid AK, Vargas-Reighley D, Warrington B, Dingley G, Solemani M.   +4 more
europepmc   +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

Identifying neuromuscular and mental fatigue in elite youth table tennis players using machine learning. [PDF]

Sci Rep
Delumeau T, Deschamps T, Plot C, Le Carpentier E, Mousseau P.   +4 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

Hybrid physics-informed artificial intelligence for high-fidelity modeling and optimization of electrical systems. [PDF]

Front Artif Intell
Nyangon J.
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Comparable outcomes with anti-thymocyte globulins versus basiliximab in kidney transplantation from controlled circulatory death donors. [PDF]

Transpl Int
Deslais M, Koenig A, Buron F, Ouellet G, Rabeyrin M, Picard C, Dijoud F, Snanoudj R, Zaidan M, von Tokarski F, Eddine AJ, Le Quintrec M, Serre JE, Corbel A, Flahault A, Giral M, Masset C, Anglicheau D, Aubert O, Sicard A, Gosset C, Lefaucheur C, Divard G, Mariat C, Monchal Q, Matillon X, Lukaszewicz AC, Dubois V, Morelon E, Thaunat O, Charmetant X.   +30 more
europepmc   +1 more source