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Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images, or video.This integration allows for a more holistic understanding of complex data, improving model performance in tasks like visual question answering, cross-modal retrieval, [1] text-to-image generation, [2] aesthetic ranking, [3] and ...
Clinical quality management systems (CQMS) are systems used in the life sciences sector (primarily in the pharmaceutical, biologics and medical device industries) designed to manage quality management best practices throughout clinical research and clinical study management. A CQMS system is designed to manage all of the documents, activities ...
Epi Info is public domain statistical software for epidemiology developed by Centers for Disease Control and Prevention. [1]Spatiotemporal Epidemiological Modeler is a tool, originally developed at IBM Research, for modelings and visualizing the spread of infectious diseases.
Clinical Quality Language (CQL) is a ANSI certified [15] clinically focused high-level expression language standard curated by Health Level 7. [16] It is designated for clinical knowledge sharing in the domains of electronic clinical quality measurement and clinical decision support .
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]
The Stanford Institute for Human-Centered Artificial Intelligence's (HAI) Center for Research on Foundation Models (CRFM) coined the term "foundation model" in August 2021 [16] to mean "any model that is trained on broad data (generally using self-supervision at scale) that can be adapted (e.g., fine-tuned) to a wide range of downstream tasks". [17]
The Donabedian model is a conceptual model that provides a framework for examining health services and evaluating quality of health care. [1] According to the model, information about quality of care can be drawn from three categories: "structure", "process", and "outcomes". [ 2 ]
The Donabedian model is a common framework for assessing health care quality and identifies three domains in which health care quality can be assessed: structure, process, and outcomes. [14] All three domains are tightly linked and build on each other. Improvements in structure and process are often observed in outcomes.