The aim of the AI algorithm is to separate healthy patients from ill but asymptomatic ones based on coughing tone, feeling, and other
How the healthcare industry uses real-time analytics, including to monitor patients, save lives, and enable staff location-management in medical facilities. Predictive medicine applications are also explored.
Researchers hope to create a proper training database to allow AI to take over neuron identification by using topological data
The hope is that with this new NLP-based system, veterans will be more likely to receive the care they need in a timely
AI-enabled EHR solutions are solving operational issues and streamlining care coordination in ways that weren’t possible just a few years prior.
The algorithms have the potential to improve patient outcomes and reduce the need for new trials to reassess missed side effects during the first clinical …
The impact of clean, well-managed healthcare data on patient outcomes is more significant than you might
Realizing the full promise of digital twins may require integrating systems and data across entire organizational ecosystems.
Many industries are looking to 5G to help move data at lightning speeds from edge devices and networks to more centralized decision-making
The life sciences industry can optimize data insights to improve pharmacovigilance processes using AI, ML, and Natural Language
Forward-thinking medical device companies are digitally transforming their operations, using data to provide new services and enhance the product