Results 131 to 140 of about 54,688 (241)

Quality of life measures in treatment for active substance misuse: a scoping review. [PDF]

Qual Life Res
Milliken AL, Collamore KO, Ryan-Pettes SR.   +2 more
europepmc   +1 more source

Is artificial intelligence getting better at anatomy? A two‐year review of ChatGPT's free public versions

Anatomical Sciences Education, EarlyView.
Abstract Artificial intelligence and large language models have significantly influenced medical education by enhancing learning experiences. While previous studies have assessed ChatGPT's performance on anatomy‐related questions, a notable gap remains in understanding its accuracy over time. This longitudinal study evaluated the progression of ChatGPT'
Bahattin Paslı, Ceren Günenç Beşer
wiley   +1 more source

Charlotte Pommer: Resistance fighter and female pioneer of German anatomy

Anatomical Sciences Education, EarlyView.
Abstract This article examines the biography and unique case of Charlotte Pommer (1914–2004), the only anatomist documented to have left the field during the Nazi period after encountering the regime's victims on the dissection table. While she is known for her resistance activities, newly presented documentation reveals her role as the provisional ...
Tim S. Goldmann
wiley   +1 more source

Leveraging a digital health intervention to improve recovery outcomes among people with substance misuse experiencing housing insecurity. [PDF]

Drug Alcohol Depend
Eswaran V, Dong F, Li X, Szlyk HS, Dell NA, Kasson E, Williams J, Cavazos-Rehg PA.   +7 more
europepmc   +1 more source

Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 703-717, April 2025.
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto, Amina A. Abdu, Natascha Chtena   +2 more
wiley   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST)

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

Efficacy of an integrated treatment for fathers with Co-occurring substance misuse and family violence. [PDF]

Contemp Clin Trials Commun
Stover CS, Meshberg-Cohen S, Portnoy GA, Char S, McCaskill CW, Do QA, Dziura J, Martino S.   +7 more
europepmc   +1 more source

Developing a critical caste analysis within information science and technology: A research review: An annual review of information science and technology paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley   +1 more source

Integrating multiple data sources to predict all-cause readmission or mortality in patients with substance misuse. [PDF]

PLOS Digit Health
Gruenloh T, Gupta P, Afshar AS, Oguss M, Salisbury-Afshar E, Pisani M, Westergaard RP, Spigner M, Gussick M, Churpek M, Afshar M, Mayampurath A.   +11 more
europepmc   +1 more source

Interpreting algorithmic information cues: User sensemaking of search autocomplete moderation

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Autocomplete is a search feature that algorithmically generates information cues for any keywords entered in the search bar. While this feature makes the search process more efficient, it also frequently produces biased, misleading, offensive, or otherwise inappropriate suggestions.
Shagun Jhaver
wiley   +1 more source