Editing Introduction to Edge Computing (section)

=== 1.3.6  Healthcare ===
Healthcare systems generate massive amounts of data from medical devices, imaging systems, and patient monitoring. Real-time processing is critical for quick diagnosis, treatment, and remote patient care.

====Remote Patient Monitoring (RPM): ====
Edge computing is transforming healthcare through wearable devices that track patient vitals in real-time, such as heart rate, oxygen levels, or glucose levels. These devices process data locally to detect anomalies, such as arrhythmias or sudden drops in blood sugar, and can instantly alert caregivers or medical staff. This ensures timely intervention and is especially valuable for patients with chronic conditions or those in remote locations.

====AI Imaging: ====
Medical imaging systems like CT, MRI, or ultrasound machines are increasingly equipped with edge processors that can analyze scans on-site. Instead of uploading massive image files to the cloud, edge AI models detect abnormalities such as tumors or internal bleeding in real-time. This accelerates the diagnostic process and is crucial in emergencies like strokes or trauma, where every second counts.

====Smart ICUs:====
Intensive Care Units (ICUs) house various devices monitoring a patient’s health. Edge computing integrates these devices into a unified system that delivers a consolidated, real-time view of the patient’s condition. It enables immediate alerting and coordination of devices such as ventilators and infusion pumps, helping doctors make quicker, data-informed decisions, ultimately improving patient care outcomes.