This collection features approximately 4500 full page plates and other significant illustrations of human anatomy selected from the Jason A. Hannah and Academy of Medicine collections in the history of medicine at the Thomas Fisher Rare Book Library, University of Toronto. Each illustration has been fully indexed using medical subject headings (MeSH), and techniques of illustration, artists, and engravers have been identified whenever possible. There are ninety-five individual titles represented, ranging in date from 1522 to 1867.

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The Multi-Dimensional Human Embryo is a collaboration funded by the National Institute of Child Health and Human Development (NICHD) to produce and make available over the internet a three-dimensional image reference of the Human Embryo based on magnetic resonance imaging. The collection of images is intended to serve students, researchers, clinicians, and the general public interested in studying and teaching human development.

Tons of images and videos (Quicktime) available

Human Embryology

This website contains supplemental materials for William Larsen’s Human Embryology textbooks. Contents include:

1. Animations of developmental processes
2. Updates and links
3. Self-testing exercises
4. Glossaries
5. Instructor’s Manual

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More about McKean here and here.

Also be sure to check out McKean’s blog, Dictionary Evangelist.

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Instead, I’ll tell you what I really think of it. The first problem I noticed was that it doesn’t use MeSH (and therefore you can’t focus or use subheadings), so you’re losing massive precision right away. The other biggie I couldn’t get past was that it lists by PMID number, not title and author.

Sounds like I hate it, right? Not at all. Once I learned more about it and understood what it does, I was blown away.

As per David’s original post, it is a semantic search engine. The first time I learned of semantic search and natural language, I thought “interesting!” in the way that means “when’s lunch?”

This has changed my mind completely.

Let me take a step back for a moment. One of the first things I mention when I teach Medline is that you are using a computer. You can’t talk to it like you are asking me a question. You need to represent your concepts with words and terms and phrases and connect them appropriately. Then I launch into Boolean logic and MeSH.

Medie is a project of Tsujii Laboratory at the University of Tokyo that works on Natural Language Processing and Computational Linguistics. Basically, this means that it can root your word and process algorithms so that you search the database with natural language. If it doesn’t already, it will be “thinking” that when you type heart you may also like results with cardiac. That is too basic of an example, but hopefully you get the idea.

So, when you search Medie you enter search terms into basic parts of speech (subject, verb, object) and out pop your results, with the line or two of text it picked up color-coded by part of speech. It does have some additional search options that I can see as being very useful and helpful. But as I can’t recommend it for searching now, I’ll let you discover those on your own. I should note that I didn’t find any information on what text is searched or omitted, or how results are ranked.

But in the future I can see Hal saying: “I’m sorry, Dave I’m afraid I can do that.”

Today’s addition to the list is the VisualDxHealth My Disease Finder

Select the patient’s age and gender:

Graphically select the part of the body:

…and click Go:

Photographs fitting the criteria are then displaid:

This appears to be most useful in identifying dermatological conditions.

Also interesting from VisualDxHealth, embeddable Widgets for iGoogle or for any Web page:

Previous posts about online diagnostic tools

• Dr. Wes Examines the iVillage Symptom Solver
• Symptom-based Search (Hypochondria 2.0?)

Stanford Biomedical Abbreviation Server

Used a text-mining approach to create a database dictionary from PubMed/MEDLINE citations.

We have scanned 11,447,996 PubMed citations for abbreviations and put them in a database. The database currently has 2,074,367 abbreviations. This work has been published in:
Chang JT, Schütze H, and Altman RB (2002). Creating an Online Dictionary of Abbreviations from MEDLINE. The Journal of the American Medical Informatics Association. 9(6): 612-20.
[ PubMed | PDF ]

Acromine

Like Stanford’s Biomedical Abbreviation Server, the National Centre for Text Mining (UK) built Acromine via text-mining in MEDLINE.

See Also:
Okazaki, N., Ananiadou, S. (2006) Building an abbreviation dictionary using a term recognition approach. Bioinformatics.

ADAM: Another Database of Abbreviations in MEDLINE

See Also:
Zhou W, Torvik VI, Smalheiser NR. ADAM: another database of abbreviations in MEDLINE. Bioinformatics 2006; 22(22): 2813-2818.

Wikipedia List of Medical Abbreviations

I’d really like to see an additional column in this list that indicates if the abbreviation is on the Joint Commission’s Official “Do Not Use” List. Speaking of which:

Joint Commision’s Official “Do Not Use” List

Official List (PDF)

FAQ about the Official List (PDF)

Facts about the Official “Do Not Use” List

Flash-Med

Below is a list of medical abbreviations and acronyms. To use, simply click on the list and enter the 1st letter of the term and scroll until you find the medical abbreviations you are looking for.

Do you have a favorite? What do you like about it? What do you use it for?

This site is a visual educational resource dedicated to providing pictures that are representative of common and uncommon physical exam findings. Discussions of pathophysiology, diagnostics, and treatment are not included. View the “Links” to see selected related sites.

Feel free to download images for use in your own educational endeavors, though please provide appropriate credit for the author and this site. Please send comments to Charlie Goldberg, M.D.

Check it out.

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Interesting outreach program by the Macon State College Library sends librarians with laptops to the cafeteria/student life center at lunchtime to answer reference questions or help students find information they need for their coursework.

It seems like a groovy idea to me. One question: Why only 90 minutes per week?

Welcome to RedAtlas.org
This website is a free, electronic atlas of eye disorders designed to help Ophthalmologists and Optometrists-in-training learn to identify eye diseases through pattern recognition. Since our launch on February 2, 2002, we have received over 3,000,000 hits from more than 60 countries around the world. The atlas is currently being hosted through the generosity of the Doheny Eye Institute at the University of Southern California/Keck School of Medicine.

How to use the site
FAQs

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Thanks, Hope!

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