Results 201 to 210 of about 106,494 (293)

Promoting health equity through linguistic justice: mitigating embedded bias of large language models. [PDF]

NPJ Digit Med
Han W, Richardson S, Zhu J, Liu Y.
europepmc   +1 more source

Artificial Intelligence and Access to Justice at the ‘Shop Front’: The Potential and Limitations of Meeting Legal Need Through Technology

Australian Journal of Social Issues, EarlyView.
ABSTRACT In Australia, governments fund Community Legal Centres (CLCs) as part of the legal assistance sector (LAS) to meet the ‘legal needs’ of people experiencing disadvantage who cannot afford private legal services. Persistent unmet demand for CLCs is well‐documented. As artificial intelligence (AI) is increasingly used in private legal practice to
Catherine Hastings, Art Cotterell, Farzana Bruce   +2 more
wiley   +1 more source

Real-world use of large language models for mental health in 2024. [PDF]

NPJ Digit Med
Stade EC, Tait ZM, Campione ST, Wiltsey Stirman S, Eichstaedt JC.   +4 more
europepmc   +1 more source

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

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

Performance of Large Language Models in Oral Cancer Patient Education: An Evaluation of Reliability, Readability, and Patient Communication Quality. [PDF]

Oral Health Prev Dent
Zhang B, Shi W, Zhang Y.
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

Unifying the structures of language in a neural population code. [PDF]

Neuron
Nastase SA, Zada Z, Goldberg A, Hasson U.   +3 more
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

Generative large language models in medicine: a scoping review of recent methodological advances. [PDF]

Npj Health Syst
Li F, Li J, Cao W, Li H, Li Y, Sun Z, Chen D, Duan T, Li P, Tizhoosh H, Tao C.   +10 more
europepmc   +1 more source