Results 61 to 70 of about 23,674 (262)

Educational Impact of Artificial Intelligence‐Navigation Surgery on Anatomical Landmark Recognition in Medical Students

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study evaluated the educational impact of artificial intelligence (AI)‐navigation surgery that provides real‐time anatomical landmark recognition during laparoscopic cholecystectomy for medical students. Thirty students were randomized into surgeon‐guided, self‐learning, and AI‐learning groups, and their performance was assessed using Dice ...
Shigeo Ninomiya   +8 more
wiley   +1 more source

Advanced Experiment Design Strategies for Drug Development

open access: yesAdvanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang   +3 more
wiley   +1 more source

NETWORK "JOSE ROBERTO LEITE" ON DISSEMINATION AND TRAINING IN NANOTECHNOLOGY: FOUR YEARS OF EFFORTS AND A FUTURE OF ACHIEVEMENTS

open access: yesMomento, 2014
This paper presents the work done by the Iberoamerican Network "José Roberto Leite" on Dissemination and Training in Nanotechnology, NANODYF, belonging to Area 6 “Science and Society” of the Ibero-American Program of Science and Technology for ...
Joaquín D Tutor-Sanchez
doaj  

Benefits and limitations of the transfer online of Irish College of General Practitioners continuing medical education small group learning during the COVID pandemic: a national Delphi study

open access: yesMedical Education Online
Background In Ireland and internationally, small-group learning (SGL) has been shown to be an effective way of delivering continuing medical education (CME) and changing clinical practice.Research Question This study sought to determine the benefits and ...
Stephanie Dowling   +7 more
doaj   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

open access: yesAdvanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan   +8 more
wiley   +1 more source

NANOTECHNOLOGIES TRAINING IN UNIVERSITY EDUCATION DEGREE AND POSTGRADUATE. SOME IBEROAMERICAN EXPERIENCES

open access: yesMomento, 2017
In this article a brief analysis about the characteristics of Degrees and Postgraduates in Higher Education focusing on the approach by competencies of them, and how this approach influences the output of the labor market is performed. Later some aspects
Joaquín D. Tutor-Sánchez
doaj  

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci   +4 more
wiley   +1 more source

El niño privado de familia normal.

open access: yesRevista Complutense de Educación, 2001
Sin ...
María Aránzazu Bartolomé Tutor
doaj  

IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi   +7 more
wiley   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari   +2 more
wiley   +1 more source

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