The constant post-market surveillance of the safety of consumer products is crucial for public health and safety.
"Artificial intelligence cannot by itself prevent pandemics, but the technology can be a powerful supplement to the knowledge and methods we already use.
Computer scientists and statisticians call these sequences time series. Although statisticians have found ways to understand these patterns and make predictions about the future, modern deep learning AI models struggle to perform just as well, if not worse, than statistical models.
The tool, called PICTURE (Pathology Image Characterization Tool with Uncertainty-aware Rapid Evaluations), distinguished with near-perfect accuracy between glioblastoma - the most common and aggressive brain tumor - and primary central nervous system lymphoma (PCNSL), a rarer cancer often mistaken for glioblastoma.
That optimism may be well founded: AI models are being developed and improved rapidly. However, what we are seeing right now is that health is struggling with applicability.
A wearable device called "a-Heal," designed by engineers at the University of California, Santa Cruz, aims to optimize each stage of the process. The system uses a tiny camera and AI to detect the stage of healing and deliver a treatment in the form of medication or an electric field.
Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE.
The trust deployed the order communications system to around 2,000 clinical users across all of its wards, the maternity and paediatrics units, the emergency and same day emergency care departments, and outpatients in June.