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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666266 | PMC |
| http://dx.doi.org/10.1021/acs.est.3c01818 | DOI Listing |
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Generative AI as a tool to accelerate the field of ecology.
Nat Ecol Evol
January 2025
Center for Ecosystem Sentinels, Department of Biology, University of Washington, Seattle, WA, USA.
The emergence of generative artificial intelligence (AI) models specializing in the generation of new data with the statistical patterns and properties of the data upon which the models were trained has profoundly influenced a range of academic disciplines, industry and public discourse. Combined with the vast amounts of diverse data now available to ecologists, from genetic sequences to remotely sensed animal tracks, generative AI presents enormous potential applications within ecology. Here we draw upon a range of fields to discuss unique potential applications in which generative AI could accelerate the field of ecology, including augmenting data-scarce datasets, extending observations of ecological patterns and increasing the accessibility of ecological data.
View Article and Find Full Text PDFRevolutionising Osseous Biopsy: The Impact of Artificial Intelligence in the Era of Personalised Medicine.
Br J Radiol
January 2025
2nd Department of Radiology, University General Hospital "ATTIKON", Medical School, National and Kapodistrian University of Athens, Greece.
In a rapidly evolving healthcare environment, artificial intelligence (AI) is transforming diagnostic techniques and personalised medicine. This is also seen in osseous biopsies. AI applications in radiomics, histopathology, predictive modelling, biopsy navigation, and interdisciplinary communication are reshaping how bone biopsies are conducted and interpreted.
View Article and Find Full Text PDF"Having providers who are trained and have empathy is life-saving": Improving primary care communication through thematic analysis with ChatGPT and human expertise.
PEC Innov
June 2025
University of Rhode Island, 142 Flagg Road, Chafee Hall, Department of Psychology, Kingston, RI 02881, USA.
In the rapidly evolving field of healthcare research, Artificial Intelligence (AI) and conversational models like ChatGPT (Conversational Generative Pre-trained Transformer) offer promising tools for data analysis. The aim of this study was to: 1) apply ChatGPT methodology alongside human coding to analyze qualitative health services feedback, and 2) examine healthcare experiences among lesbian, gay, bisexual, transgender, and queer (LGBTQ+) patients ( = 41) to inform future intervention. The hybrid approach facilitated the identification of themes related to affirming care practices, provider education, communicative challenges and successes, and environmental cues.
View Article and Find Full Text PDFGenerative AI in Higher Education: Balancing Innovation and Integrity.
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Department of Biosciences and Chemistry, Sheffield Hallam University, Sheffield, United Kingdom.
Generative Artificial Intelligence (GenAI) is rapidly transforming the landscape of higher education, offering novel opportunities for personalised learning and innovative assessment methods. This paper explores the dual-edged nature of GenAI's integration into educational practices, focusing on both its potential to enhance student engagement and learning outcomes and the significant challenges it poses to academic integrity and equity. Through a comprehensive review of current literature, we examine the implications of GenAI on assessment practices, highlighting the need for robust ethical frameworks to guide its use.
View Article and Find Full Text PDFLetter to the editor regarding "Assessing ChatGPT's Accuracy and Reliability in Asthma General Knowledge".
J Asthma
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Department of Public Health, Environment, Occupation, and Health, Aarhus University, Aarhus, Denmark.
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