Results 191 to 200 of about 22,074,380 (291)

Shadow Infrastructures of Labour: A Case Study of Generative AI Use in Victorian Child Protection Practice

Australian Journal of Social Issues, EarlyView.
ABSTRACT Generative Artificial Intelligence (GenAI) tools such as ChatGPT are rapidly entering workplaces, yet their use in frontline human services remains largely undocumented and weakly regulated. Drawing on an investigation into a child protection worker's informal use of ChatGPT, this article provides insight into how GenAI is already shaping ...
Joel Robert McGregor, Linus Tan, Caleb Lloyd, Abigail Sheed   +3 more
wiley   +1 more source

"In ChatGPT-Powered Virtual Influencers We (Dis)Trust?": The Privacy Paradox and the Double-Edged Sword of Ubiquitous Large Language Model (LLM) Generative AI as a General Purpose Technology (GPT) in a Human-Centered AI Ecosystem. [PDF]

Behav Sci (Basel)
Jin SV.
europepmc   +1 more source

Translation and Cross‐Cultural Adaptation of the Chronic Rhinosinusitis Control Test for Global Use

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Introduction The Chronic Rhinosinusitis Control Test (CRCT) is a patient‐reported outcome measure (PROM) written in English that is psychometrically validated to measure chronic rhinosinusitis control. Because the availability of translated PROMs is a driver of data equity—collection of data that is fair and generally representative—our ...
Hye K. Pae, Detong Xia, Hanzhong Sun, Yudi Chen, Kwangoh Yi, Minjeong Song, Eriko Sato, Ali R. Abasi, Jody Ballah, Anna Babarczy, Raymond Bertram, Agnieszka Biernacka, Mable Chan, Teresa Civera, Irina Dubinina, Doğu Erdener, María Isabel Maldonado García, Ali Garib, Tuomo Häikiö, Fuk‐chuen HO, Li‐Yu Hung, R. Malatesha Joshi, Oksana Kanerva, Kiranpreet Kaur Baath, Björn Köhnlein, Dalibor Kučera, Paula Luegi, Yustinus Calvin Gai Mali, Sivan Medina, Stefan Milosavljević, Amna Mirza, Mohamed Y. Mwamzandi, Fatemeh Nami, Anabella‐Gloria Niculescu‐Gorpin, Portia Padilla, Georgia Panayiotou, Manuel Perea, Luciano Perondi, Hiển Phạm, Rasmus Puggaard‐Rode, Anurag Rimzhim, Sreeparna Sarkar, David L. Share, Gláucia V. Silva, Antônio R. M. Simões, Charlotte Stormbom, Titima Suthiwan, Katsuo Tamaoka, Mila Tasseva‐Kurktchieva, Paweł Urbanik, An Van, Katie M. Phillips, Ahmad R. Sedaghat   +52 more
wiley   +1 more source

Large Language Model (LLM)-Predicted and LLM-Assisted Calculation of the Spinal Instability Neoplastic Score (SINS) Improves Clinician Accuracy and Efficiency. [PDF]

Cancers (Basel)
Chan MDZ, Tjio CKE, Chan TLY, Tan YL, Chua AXY, Loh SKY, Leow GZH, Gan MY, Lim X, Choo AK, Liu Y, Tan JWP, Teo EC, Yap QV, Yonghan T, Makmur A, Kumar N, Tan JH, Hallinan JTPD.   +18 more
europepmc   +1 more source

Nanostructured Deep Eutectic Systems in Healthcare: From Bioactive Solvents to Intelligent Biointerfaces, Wearables, and AI‐Driven Design

Advanced NanoBiomed Research, EarlyView.
Beyond the green solvent paradigm, this review redefines Deep Eutectic Systems (DES) as programmable supramolecular nanoassemblies. We survey their biomedical convergence: stabilizing thermolabile mRNA to enable cold chain‐free logistics, reshaping transdermal microneedle delivery, enabling long‐term wearables via eutectogels, and utilizing Generative ...
Jeesu Moon, Min Seo Kim, Jae‐Seung Lee
wiley   +1 more source

Use of large language model (LLM) to enhance content and structure of a school of dentistry LibGuide. [PDF]

J Med Libr Assoc
Jones EP.
europepmc   +1 more source

Integrating machine learning, deep learning, and image analysis for seed species classification

Applications in Plant Sciences, EarlyView.
Abstract Premise The growing demand for wildflower seeds in ecological restoration requires reliable species identification, yet current market products often contain heterogeneous species. As seed identification is labor‐intensive and requires advanced botanical knowledge, we evaluated multiple segmentation and classification approaches to determine ...
Jonathan Ashworth, Eloise Barrett, Rebonto Haque, Ben Wildey, Anthony Hall, Felix Shaw, Jose J. De Vega   +6 more
wiley   +1 more source

Evaluating Multimodal Large Language Model (LLM) (Generative Pre-trained Transformer 5 (GPT-5)) for Meniscal Tear Detection on Knee Magnetic Resonance Imaging (MRI): A Pilot Study. [PDF]

Cureus
Chan KK, Chan WH, Chan LC.
europepmc   +1 more source

Inferring Rheumatoid Arthritis Disease Activity Status From the Electronic Health Records Across Health Systems

Arthritis &Rheumatology, EarlyView.
Objective Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. The inconsistent availability of data on disease activity in real‐world electronic health records (EHRs) data has limited the ability to generate real‐world evidence (RWE).
David Cheng, Xuan Wang, Gregory C. McDermott, Jennifer S. Hanberg, Zoe Love, Katherine Zhong, Mary Jeffway, Jue Hou, Vidul Panickan, Rahul Sangar, Ying Qi, Connor Melley, Lauren Costa, Dakota Feil, Rachael Matty, Dana Weisenfeld, Abisayo Animashaun, Aimee Schreiner, Sara Morini, Lauren Rusnak, Andrew Cagan, Misti Paudel, J. Michael Gaziano, Brian Sauer, Michael Weinblatt, Joshua Baker, Bryant England, Yuk‐Lam Ho, Kelly Cho, Paul Monach, Grant W. Cannon, Nancy Shadick, Ted R. Mikuls, Tianxi Cai, Katherine P. Liao   +34 more
wiley   +1 more source

Introduction to Large Language Models (LLMs)

This introductory book explains the scientific and engineering principles that underpin modern Large Language Models (LLMs). It is intentionally technology-neutral: commercial systems such as ChatGPT are presented only as examples illustrating broader concepts rather than as the subject of the book.
openaire   +1 more source