Results 151 to 160 of about 1,214 (239)

A systematic mapping review on how generative artificial intelligence impacts social and emotional learning: A case of large language model chatbots

Review of Education, Volume 14, Issue 1, April 2026.
Abstract Large language model (LLM) chatbots have rapidly emerged as powerful tools in education, offering new avenues to support social and emotional learning (SEL). Literature lacks synthesis studies related to SEL competencies and how LLM chatbots are used to foster them, that is, affordances.
Haolan Liu, Xueqing Fang, Qingyuan Cui, Thomas K. F. Chiu   +3 more
wiley   +1 more source

A perspective for adapting generalist AI to specialized medical AI applications and their challenges. [PDF]

NPJ Digit Med
Wang Z, Wang H, Danek B, Li Y, Mack C, Arbuckle L, Biswal D, Poon H, Wang Y, Rajpurkar P, Xiao C, Sun J.   +11 more
europepmc   +1 more source

AI in the Chair: A Multi‐Centre Study of Doctor AI Answering Orthodontic Patient Questions

Journal of the Royal Society of New Zealand, Volume 56, Issue 2, April 2026.
Objectives: To investigate the performance of Doctor AI in answering frequently asked questions (FAQs) and to analyse the advantages and potential limitations. Methods: Twenty validated FAQs were entered into ChatGPT‐4 and DeepSeek‐v3 to compare the responses generated by the two models and their unmodified responses were assessed by expert panels from
Ruijie Zhang, Melody Liu, Olivia Liong, Leo Liu, Simon Guan, Kun Chen, Yu Li, Xianglong Han, Li Mei   +8 more
wiley   +1 more source

Exploring Patterns of D‐Dimer Assay Ordering at an Australian Rural Referral Hospital: A Retrospective Audit

Emergency Medicine Australasia, Volume 38, Issue 2, April 2026.
ABSTRACT Objective To explore patterns of D‐dimer assay ordering for the diagnosis of pulmonary embolism (PE) and evaluate its clinical usefulness at Dubbo Health Service. Methods Retrospective audit of patients presenting to Dubbo Health Service between 1 January and 31 December 2024 who underwent D‐dimer testing.
Suzanne Hill, Emma Webster, Daniel Stewart   +2 more
wiley   +1 more source

Generative AI Driven Process Calculations for Fuel Cells and Flow Batteries. [PDF]

ACS Omega
Garg R, Majhi V, Chamola V, Elhence A, Pandey J.   +4 more
europepmc   +1 more source

Design and evaluation of AI copilots -- case studies of retail copilot templates

Building a successful AI copilot requires a systematic approach. This paper is divided into two sections, covering the design and evaluation of a copilot respectively.
Furmakiewicz, Michal, Liu, Chang, Taylor, Angus, Venger, Ilya   +3 more
core  

Investigating the Readability and Quality of AI Systems to Trending Questions About Food Poisoning

Journal of Food Science, Volume 91, Issue 4, April 2026.
ABSTRACT Consumers increasingly turn to artificial intelligence (AI) systems, including search engines and large language models (LLMs), for immediate food safety guidance. However, the reliability and accessibility of this information for critical public health issues, such as food poisoning, remain unassessed. This study benchmarks the performance of
Idris Demirsoy, Abdullah Dikici
wiley   +1 more source

Artificial intelligence-powered copilots for precision diagnosis and surgical assessment of histological growth patterns in resectable colorectal liver metastases: a prospective study. [PDF]

Int J Surg
Lin R, Chen Y, Li Y, Tan Y, Wang C, Wang Z, Sun M, Wang L, Wu Y, Ou Q, Ng L, Zhang X, Pan W, Li Z, Chen Z, Zheng Z, Huang X, Zhang L, Sun J, He Z, Li N, Yu Y, Zhang D.   +22 more
europepmc   +1 more source

Prompting large language models for quality ecological statistics

Methods in Ecology and Evolution, Volume 17, Issue 4, Page 1012-1021, April 2026.
Abstract Large language models (LLMs) are rapidly transforming scientific workflows, including ecological statistics and coding. While these AI tools offer impressive capabilities for code generation and scientific reasoning, their responses can be inconsistent, and they may mislead users about appropriate statistical methods.
Christopher J. Brown, Scott Spillias
wiley   +1 more source

FISH Illumination of the Oak Wilt Pathogen, Bretziella fagacearum, on Vectoring Insects and in the Red Oak Host Tissues

Forest Pathology, Volume 56, Issue 2, April 2026.
ABSTRACT Oak wilt, caused by Bretziella fagacearum, is a destructive vascular disease of oaks in North America, yet fine‐scale spatial localisation of the pathogen in host tissues and on insect vectors remains poorly characterised. In this study, we developed and validated a species‐specific fluorescence in situ hybridisation (FISH) probe targeting the
Martine Blais, Karandeep Singh Chahal, Monique L. Sakalidis, Philippe Tanguay   +3 more
wiley   +1 more source