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 ...

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 ...

A variety of factors contributed to this new reality and the response to this appears to be looking toward the ever-evolving ...

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 ...

Similar to how we synthesized a framework for value-based payment (VBP)-specific design considerations in previous Health Affairs Forefront work, we present here a brief framework for categorizing the ...

Researchers at MIT have developed a framework called Self-Adapting Language Models (SEAL) that enables large language models (LLMs) to continuously learn and adapt by updating their own internal ...

Adoption of Telemedicine for Postoperative Follow-Up After Inpatient Cancer-Related Surgery Data were collected from an ambulatory oncology clinic at the University of Miami Health System from October ...

Thirty participants were interviewed: 22 females (73%), aged 31-70 years (28, 94%), comprising patients (n = 8), caregivers (n = 2), medical oncologists (n = 4 ...

This arrangement will see an overhaul of the way Findex implements tactical asset allocation (TAA) across its $8.5 billion ...

Spread the love“`html The landscape of artificial intelligence (AI) is rapidly evolving, with substantial advancements accompanying unprecedented risks. In a pivotal step, the White House has unveiled ...