The pandemic has demonstrated the need and role of a digitally transformed healthcare system
(Healthcare 5.0). The biggest challenge in healthcare IoT (H-IoT) is security, as it connects
medical devices, wearables, and infrastructure, enabling real-time monitoring and data sharing. As
H-IoT devices transmit massive amounts of healthcare information every millisecond, privacy and
security are of utmost importance. The increasing number, scale, and types of cyberattacks on
healthcare facilities have demonstrated the urgency for new methods to secure the environment.
This talk sheds light on securing H-IoT using AI/ML techniques protecting sensitive/healthcare
data and ensuring medical device integrity. It also covers real-time threat and anomaly detection
using ML algorithms.

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