Results 141 to 150 of about 14,353 (222)

Dreams are more "predictable" than you think. [PDF]

Front Sleep
Bertolini L, Consoli S, Weeds J.
europepmc   +1 more source

Transforming healthcare with large language models: Current applications, challenges, and future directions—a literature review

Journal of Intelligent Medicine, Volume 3, Issue 1, Page 8-25, March 2026.
Abstract AI‐based large language models (LLMs) have gradually made their way into various fields, transforming industries and changing the way we solve problems. LLMs have great potential in healthcare, where they can share the burden of data management, retrieval, and decision‐making.
Muhammad Umar, Vanessa Ali, Laiba Shamim, Imshaal Musharaf, Rabia Hafsa, Muhammad Umar Ahsan, Osama Ahmad, Lamea Bint Sabhan, Muhammad Saeed, Somaiya Ahmed, Sana Iftikhar, Noor Ul Ain   +11 more
wiley   +1 more source

Anchoring race: improving the construction of race dimensions in word embeddings. [PDF]

J Comput Soc Sci
Ohamadike N, Durrheim K, Primus M.
europepmc   +1 more source

AI‐Powered Scoring for Creative Thinking: Methods and Challenges in PISA Assessment

The Journal of Creative Behavior, Volume 60, Issue 1, March 2026.
ABSTRACT The introduction of the PISA 2022 Creative Thinking assessment underscores the growing need for scalable, valid, and reliable methods to evaluate creativity in international large‐scale assessments. Traditional human scoring, while nuanced, is time‐consuming, costly, and subject to inconsistencies.
Ricardo Primi, Roger E. Beaty, Mathias Benedek, Denis Dumas, Peter Organisciak, John D. Patterson, Tiago Calico, Mario Piacentini   +7 more
wiley   +1 more source

Misattribution of Korea's malaria elimination status in 1979. [PDF]

Epidemiol Health
Seol R, Kim Y.
europepmc   +1 more source

Colonial Bias in AI Training Data: Prompting Sora to Generate Images of Aotearoa New Zealand's Historical Past

Kōtuitui: New Zealand Journal of Social Sciences Online, Volume 21, Issue 1, March 2026.
This paper examines how generative artificial intelligence (AI) reproduces colonial visual tropes when tasked with representing Aotearoa New Zealand's historical past. Using OpenAI's Sora as a case study, the analysis investigates AI‐generated images prompted to depict (1) precolonial landscapes, (2) first contact between Māori and Europeans, (3 ...
Olli Hellmann
wiley   +1 more source

Tracking patterns in toxicity and antisocial behavior over user lifetimes on large social media platforms. [PDF]

Sci Rep
Blumer K, Kleinberg J.
europepmc   +1 more source

Mycochemical Diversity and Therapeutic Potential of Hymenochaetoid Fungi from Central Asia: Regional and Global Perspectives

New Zealand Journal of Botany, Volume 64, Issue 1, March 2026.
Central Asia harbors a rich yet understudied assemblage of wood‐inhabiting Hymenochaetoid fungi. This review delivers the first comprehensive synthesis of 43 poroid species representing 18 genera documented across montane forests, steppes, and xeric habitats.
Yusufjon Gafforov, Milena Rašeta, Sylvie Rapior, Manzura Yarasheva, Oksana Mykchaylova, Rustamjon Allaberdiev, Şule İnci, Dilfuza Berdieva, Arshad Mehmood Abbasi, Shikhnazar Khodjaev, Dian‐Ming Hu, Weijun Yang, Abudujilili Abuduaini, Maria Letizia Taddei, Mengcen Wang, Islomjon Urinboev, Jiajia Chen   +16 more
wiley   +1 more source

Evaluating others' well-being: Survey experiment on fictional Japanese celebrities generated from wikipedia articles and ChatGPT. [PDF]

PLoS One
Saito T, Ishibashi A, Lyu Z, Xie Z, Yasuda S, Takikawa H.   +5 more
europepmc   +1 more source

Explainable AI for Hate Speech Moderation: A Stakeholder‐Centered and Sociotechnical Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
Overview of the proposed scoping review framework for Explainable AI (XAI) in hate speech moderation. The diagram maps the end to end structure of the study, beginning with the socio technical problem framing and research questions, followed by PRISMA guided methodology, dataset and model evaluation criteria, and comparative analysis of XAI methods for
Muhammad Deedahwar Mazhar Qureshi, M. Atif Qureshi, Wael Rashwan   +2 more
wiley   +1 more source