Oakland University William Beaumont School of Medicine
Medical Library
OUWB Medical Library
Volume 16, Issue 1, Spring 2026
Newsletter Archive

Medical Library News and Events for Spring 2026
QR Code leading to Ask Us librarian form
Ask Us!
The academic year is coming to a close, but we aren't going anywhere! The Medical Library remains open year round, and we have some exciting news to share with our community this quarter. We also want to send out a warm congratuations to our match candidates this year - you made it!  
This month's newletter features:

Upcoming Library Workshops - Scholarship
We have several workshops coming up within the next few months centered around the theme of promoting and disseminating your scholarly work. Whether it's finding which journal to submit to, building an online profile to promote your work, or measuring the impact that your published scholarship has - we've got you covered. Join us and learn the best ways to make your efforts known to the academic world. 

Announcing our Embedded Librarian Program!
a librarian riding a go-kart with a laptop in her hand
The Medical Library is launching a new initiative so that we can better serve the needs of OUWB students, faculty, and staff - The Embedded Librarian. While we value our spaces on the first floor of Kresge Library and welcome any and all visitors to those spaces, we recognize that sometimes it's easier to bring the library (or in this case librarian) to our patrons. To that end, we have secured a room on the 2nd floor of O'Dowd to serve as space for our Embedded Librarian.
Twice a week, Tuesday and Friday, from 11:30 - 12:30p, one of our Medical Librarians will sit in Room 209C and be available for any research, resource, or material needs that you might have. Or if you just want to drop by and chat, we are open to that as well! 

Resource Highlight - Mobile Apps LibGuide
An often overlooked feature of many of our resources, whether it's a learning resource like Complete Anatomy or Board Vitals, or a point-of-care tool like UptoDate or DynaMed, is a mobile application companion that you can download on your iPads or phones to use on the go. These will generally require you to make an account with your official Oakland University credentials on their main website first, so please read the instructions carefully in order to successfully utilize this feature. Check out all of these apps on our recently revised LibGuide, linked below.
an image of the learning apps libguide, with links and directions

OUWB Publication Highlights - 1st Quarter 
With so many OUWB faculty, staff, and student publications being published every year, we thought we could provide a place to showcase a few with our newsletter. Below you will find a very small sample of what our OUWB community has been researching. If you would like to have your own publication featured in the Medical Library Newsletter, please contact us, and we can make it happen!

David's AI Corner
Every newsletter, we will try to bring readers some new development in Artifical Intelligence and how it relates to research, medical education, or productivity. Or, we might simply have David wax philosophical about AI and its impact on the world. Will it save us? Will it ruin us? Who can say! 
This week's discussion centers around hallucinations. If you're not familiar, an AI hallucination is when a Large-Language Model like ChatGPT or Google Gemini reads your prompt, provides you an answer, but completely fabricates that answer out of a necessity to give you some answer, any answer, as opposed to simply saying, "I don't know." These AI Chatbots, by their very nature, are sychophantic. Their need to provide an answer to a prompt overrides any desire to be factually correct about that answer. This is yet another reason why it is imperitive to use these AI tools as assistants and not let them replace your own thoughts. An article in Science from October of 2025 writes, "The root problem [...] may lie in how LLMs are trained. They learn to bluff because their performance is ranked using standardized benchmarks that reward confident guesses and penalize honest uncertainty." 
When asked how they would fix this problem, most AI developers refuse to answer because programming in an uncertainty response might lead users to look for answers elsewhere, and no platform wants that. This creates a situation where it feels like AI wants to be needed, which is an oddly human trait when you think about it. 
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