Software engineers developing artificial intelligence (AI) models using standard frameworks such as Keras, PyTorch, and TensorFlow are usually not well-equipped to translate those models into ...
Advancing healthcare AI governance through a comprehensive maturity model based on systematic review
Artificial Intelligence (AI) deployment in healthcare is accelerating, yet governance frameworks remain fragmented and often assume extensive resources. Through a systematic review of 35 frameworks ...
Artificial intelligence (AI) is transforming healthcare with an explosion in the number of studied AI applications in medicine 1. However, the adoption of AI into clinical practice has been slow and ...
New technologies are often so brimming with potential that they're difficult to define. In turn, that makes them harder to implement as part of an overarching digital transformation strategy. Many ...
This workshop will provide an introduction to the types of theories, models, and frameworks (TMFs) commonly used in dissemination and implementation science, including pros and cons and application of ...
A variety of factors contributed to this new reality and the response to this appears to be looking toward the ever-evolving ...
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