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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]
Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [1]
For more information about the philosophical background for open-source software, see free software movement and Open Source Initiative. However, nearly all software meeting the Free Software Definition also meets the Open Source Definition and vice versa. A small fraction of the software that meets either definition is listed here.
Fully open-source scribes provide the software for free. The user can install it on hardware of their choice, or pay to have it installed. Some open-source scribes can be installed on the local device (that is, the one recording the audio) or on a local server (for instance, one serving a single clinic).
Medical case management is a collaborative process that facilitates recommended treatment plans to assure the appropriate medical care is provided to disabled, ill or injured individuals. It is a role frequently overseen by patient advocates .
Artificial intelligence-enhanced technology is being used as an aid in the screening of eye disease and prevention of blindness. [90] In 2018, the U.S. Food and Drug Administration authorized the marketing of the first medical device to diagnose a specific type of eye disease, diabetic retinopathy using an artificial intelligence algorithm. [91]
Theoretically, free software such as GNU Health and other open source health software could be used or modified for various purposes that use electronic medical records i.a. via securely sharing anonymized patient treatments, medical history and individual outcomes (including by common primary care physicians). [48]
MONAI provides a robust suite of libraries, tools, and Software Development Kits (SDKs) that encompass the entire process of building medical imaging applications. It offers a comprehensive range of resources to support every stage of developing Artificial intelligence (AI) solutions in the field of medical imaging, from initial annotation (MONAI Label), [2] through models development and ...