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.
The trust, which provides hospital and community health care for approximately half a million people, has made a clinically-led decision to use Alcidion's Miya Precision platform. The modular EPR will enhance digital maturity and will support clinicians in the delivery of high quality, safe care for patients.
Intuitive design, ease of use, and interoperability with specialist systems that NCIC wishes to retain, were key benefits recognised by the trust's EPR evaluation team, which represented all services, at all levels, across the trust.
The system, developed by Diego Guarin, Ph.D., an assistant professor of applied physiology and kinesiology in the UF College of Health and Human Performance, applies machine learning to analyze video recordings of patients performing the finger-tapping test, a standard test for Parkinson's disease that involves quickly tapping the thumb and index finger 10 times.