Artificial Intelligence
Deep Dive: From clinical decision support to revenue cycle to cybersecurity, machine learning algorithms are already transforming healthcare – but implementation is key.
Up until now, the role of these olfactory genes outside the nose has been largely unknown.
Cybersecurity firm CynergisTek is using AI to help hospitals detect unauthorized access to electronic health records and prevent breaches caused by coronavirus curiosity.
Program administered by The University of Hong Kong has international implications and applications; clinicians leverage wearables and AI to accelerate disease surveillance and interventions.
The new system, developed with Microsoft Azure, is designed to help healthcare organizations align community resources to identify gaps and social barriers to care.
The partnership is designed to deliver real-time awareness for better outcomes and significant cost savings while making care more human with the power of AI, the organizations say.
Monitoring coronavirus patients remotely with clinical-grade sensors and collecting data on numerous physiological signals could improve clinical decision-making for providers.
The artificial-intelligence-powered healthcare information technology vendor discusses delayed AI results, algorithmic bias and attracting data science talent.
Billed as the first of its kind, the ANSI-accredited spec defines terms such as assistive intelligence, synthetic data and others related to how artificial intelligence is used in healthcare.
The next priority in Turkey's drive to improve patient care, support clinical staff and pursue digital maturity is artificial intelligence, says Dr. Şuayip Birinci, the country's deputy minister of health.