5 Revolutionary AI Applications in Healthcare

Traditionally, EHRs store the data as simple notes made by doctors or other medical staff. Thus, such information is initially unstructured.

VR and AR promote simulation-based healthcare tech innovations and provide medical students and practitioners with excellent learning opportunities and real-time feedback. Therefore, you can simulate real-life surgery and procedure experience without threats to patients. At the same time, VR- and AR-enabled training is affordable for educational institutions in terms of costs.

Nowadays, AI-powered telemedicine enables doctors to handle patients early in their diseases using chatbots. Such chatbots can offer patients to book a visit or recommend some critical measures to enhance their well-being. Besides, visits are often remotely, which is another telemedicine advantage. That allows physicians to reduce their workload and provide high-quality care to patients.

Often, people wear these AI-powered small devices almost round-the-clock. Since they are connected to mobile applications, including mHealth ones, they help monitor the person’s vitals and track their health conditions.

The most significant examples of using AI-enabled wearables are the following:

When driven by artificial intelligence and machine learning algorithms, robotics can assist healthcare facilities in these ways:

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