Analytics

Encryption technology used in elections can potentially improve an AI model's predictive capability without compromising patient data privacy.  

The mobile app-based AI has 87% accuracy in identifying Alzheimer's disease.

Powered by AI, it has over 80% accuracy in detecting valvular heart disease.

Also, ezCaretech is integrating predictive AI into its EHR offering.

Dr. Benoit Desjardins, University of Pennsylvania radiology professor, explains that, because generative AI models employ "shallow thinking," they can't yet explain how they reach conclusions or replicate the way a human doctor thinks.

Hal Wolf, HIMSS president and CEO, discusses the possible influence that conversations at HIMSS24 between international healthcare leaders could have on healthcare technology policy development in the EU and other regions.

The Act is the world's first major law for AI implementation and provides regulations for high-risk applications of the technology, including its use in healthcare.

Threat actors are increasingly using AI to generate hacking attempts and phishing scams. Jeff Webber, Intelliguard CTO, calls for cybersecurity vendors to create AI-powered solutions to fight these new threats.

Jerry Shultz, Lightbeam Health Solutions' president, says the company's AI identifies COPD patients who need personalized interventions, reducing readmissions and realizing millions of dollars in savings for clients.

Before deciding how and when to adopt AI, Nicolas Ostrowski of Future Processing advises businesses to have a technology roadmap, sound data practices and strong cybersecurity in place.