While ChatGPT has gained popularity in various domains, it may not be the ideal focus for medical professionals due to its reliance on language pattern prediction rather than direct fact retrieval, potentially leading to inaccurate outputs. We emphasize the limitations of ChatGPT's training data, which mainly come from non-specialized sources and may result in misleading answers in highly specialized medical domains. We advocate for a shift towards specialized medical large language models (LLMs) that are trained using authoritative medical databases, supplemented by human validation, to ensure accuracy and completeness of data.
How to optimize the systematic review process using AI tools
Nicholas Fabiano, Arnav Gupta, Nishaant Bhambra, Brandon Luu, Stanley Wong, Muhammad Maaz, Jess G. Fiedorowicz … See all authors
First published: 23 April 2024
https://doi.org/10.1002/jcv2.12234
Nicholas Fabiano, Arnav Gupta and Nishaant Bhambra contributed equally to this paper.
We introduce Get Free Copy (https://getfreecopy.com), a web-based platform designed to streamline the search for biomedical literature across major repositories like arXiv, bioRxiv, medRxiv, and PubMed Central (PMC). Addressing challenges posed by paywalls and fragmented databases, it offers a unified interface for efficient retrieval of free, legitimate copies of biomedical literature. The platform's implementation involves a Node.js backend and dynamic front-end display, enhancing accessibility and research efficiency. As an open-source project, Get Free Copy represents a significant contribution to the open-access movement, inviting global researcher collaboration for further development.
With the enormous growth in interest and use of generative artificial intelligence (AI) systems seen since the launch of ChatGPT in autumn 2022 have come questions both about the legal status of AI outputs, and of using protected works as training inputs. It is inevitable that UK higher education institution (HEI) library copyright advice services will see an increase in questions around use of works with AI as a result. Staff working in such library services are not lawyers or able to offer legal advice to their academic researchers. Nonetheless, they must look at the issues raised, consider how to advise in analogous situations of using copyright material, and offer opinion to researchers accordingly. While the legal questions remain to be answered definitively, copyright librarians can still offer advice on both open licences and use of copyright material under permitted exceptions. We look here at how library services can address questions on copyright and open licences for generative AI for researchers in UK HEIs.
When seeking medical information on social media, users tend to rely on subjective judgment rather than objective judgment, although both are influential. Furthermore, in the current era, in which marketing methods involving big data algorithms and artificial intelligence prevail, negative signals, such as information overload, have a more pronounced impact than positive signals.
New survey by the American Library Association. Despite their online presence, 98% of Purdue undergraduates use libraries for study, socializing, and resources like Wi-Fi. The survey highlights a shift in library design, emphasizing flexible, multi-purpose areas over traditional print collections. Modern libraries now offer amenities like natural light, diverse study environments, and tech-equipped spaces to meet student needs. The study underscores the importance of adapting library spaces to support both academic and social functions, ensuring they remain vital hubs for the next generation of students
As the authors of this paper state,
offering timely access to evidence-based practices is crucial to address the research-practice gap and provide evidence-based care to children and young people.
This review summarises the key barriers and facilitators to help achieve this. It also highlights some of the conflicting priorities that CYP mental health services currently face between these identified facilitators and barriers (e.g., high service demands and prioritising innovation).
Additionally, this review emphasises the need to learn and use implementation strategies within CYP mental health settings in order to test and trial these methods and understand the effects within local and individual contexts.