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Intended for use by medical, dental and medical science students, the video teaching aid uses simple language and high quality images. The authors claim: "Each minute of the finished product took twelve hours to produce: five in creating the script, five in making the shots, and two in post-production." [2]
VideoLectures.NET is the world's biggest academic online video repository with 24,792 video lectures delivered by 10,763 presenters since 2001. [1] It is hosted at Jozef Stefan Institute in Slovenia, Europe. All content is released under the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 [2]
Open Yale Courses is a project of Yale University to share full video and course materials from its undergraduate courses. Open Yale Courses provides free access to a selection of introductory courses, and uses a Creative Commons Attribution-Noncommercial- Share Alike license.
Offline Medical Wikipedia is a mobile app providing offline access to Wikipedia's health content. Built on Kiwix and supported by Wiki Project Med Foundation and Wikimedia Switzerland, the app is available for android, iOS, Windows, Mac, and Linux. It is available in several languages.
In 2024, a Lectures series began, with long-form videos enabling a deeper dive into a single topic. The channel launched its first podcast in 2024. In October 2024, the creation of "Crash Course Books", a new imprint of Penguin Young Readers , was announced, with the first book Everything Is Tuberculosis by John Green set to be released in ...
A medical encyclopaedia is a comprehensive written compendium that holds information about diseases, medical conditions, tests, symptoms, injuries, and surgeries. It may contain an extensive gallery of medicine-related photographs and illustrations. [1] A medical encyclopaedia provides information to readers about health questions. It may also ...
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Studierfenster (StudierFenster) is a free, non-commercial Open Science client/server-based Medical Imaging Processing (MIP) online framework. [52] Medical open network for AI is a framework for Deep learning in healthcare imaging that is open-source available under the Apache Licence and supported by the community. [53]