Contemporary healthcare at all levels increasingly uses Artificial Intelligence (AI). However, since the various levels involve different tasks, have different data needs, and different ethical obligations, the AIs that are used have to be differentl...
BACKGROUND: Understanding stakeholders' perception of cure in prostate cancer (PC) is essential to preparing for effective communication about emerging treatments with curative intent. This study used artificial intelligence (AI) for landscape review...
Neurological conditions are the leading cause of disability and mortality combined, demanding innovative, scalable, and sustainable solutions. Brain health has become a global priority with adoption of the World Health Organization's Intersectoral Gl...
BACKGROUND: Policymakers require precise and in-time information to make informed decisions in complex environments such as health systems. Artificial intelligence (AI) is a novel approach that makes collecting and analyzing data in complex systems m...
Digitalisation of health and the use of health data in artificial intelligence, and machine learning (ML), including for applications that will then in turn be used in healthcare are major themes permeating current UK and other countries' healthcare ...
BACKGROUND: Artificial intelligence (AI) has attracted much attention because of its enormous potential in healthcare, but uptake has been slow. There are substantial barriers that challenge health technology assessment (HTA) professionals to use AI-...
Scholars increasingly rely on new artificial intelligence models for convenience and simple access to necessities due to the rapid evolution of scientific literature and technology. The invention of ChatGPT by OpenAI stands out as a key example of ho...
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