When safely implemented, EPR systems can help to support and improve care and treatment. However, in recent years there has been growing awareness of the significant patient safety risks also associated with their implementation and use.
The artificial intelligence (AI) tool generated "acceptable" responses to nearly one-half of a sample of real-life patient questions, according to the new research by Michael Scott, MD, a urologist at Stanford University School of Medicine.
The national poll of 1,006 people found:
The European Artificial Intelligence Act (AI Act), the world's first comprehensive regulation on artificial intelligence, enters into force. The AI Act is designed to ensure that AI developed and used in the EU is trustworthy, with safeguards to protect people's fundamental rights. The regulation aims to establish a harmonised internal market for AI in the EU, encouraging the uptake of this technology and creating a supportive environment for innovation and investment.
Recent developments in AI have sparked a growing interest in computer-assisted diagnosis, partly motivated by the increasing workload faced by radiology departments, the global shortage of radiologists and the potential for burnout in the field.
Although doctors have some tools for addressing chronic pain, figuring out who is most at risk for developing it is no easy feat. But a new study, conducted by researchers at the University of Florida and other institutions, uses artificial intelligence (AI) to predict which breast cancer patients are most at risk for developing chronic pain.
Publishing their results in Nature Biomedical Engineering, the scientists describe using a large language model - an AI tool like the one that powers ChatGPT - to engineer a version of a bacteria-killing drug that was previously toxic in humans, so that it would be safe to use.