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5 Groundbreaking Ways AI is Emerging in Healthcare Today
AI is everywhere, whether we realize it or not, and healthcare is no exception. Some people love it, and others despise it. Either way, the system is improving efficiencies in an already short-staffed, overburdened industry.
Let’s uncover five ways AI is emerging in the healthcare scene:
- Remote patient monitoring (RPM)
RPM is when patients with chronic conditions are monitored remotely from home. Many utilize monitoring devices, such as blood pressure cuffs, scales, and pulse oximeters, to check their vital signs daily. These trends are analyzed remotely to detect changes or abnormalities in patient conditions.
This data is then transmitted to a healthcare team for analysis. It can detect a potentially decompensating patient so the healthcare team can intervene before the condition worsens. COPD and heart failure are two leading examples of this.
2. Medical imaging
AI can analyze medical images to predict abnormalities that will aid radiologists in making their diagnoses. This speeds up the interpretation process for X-rays, CT scans, and other diagnostic modalities. Speed and efficiency are essential against an insurmountable workload list.