5 Revolutionary AI Applications in Healthcare

SPsoft
3 min readOct 10, 2022

Artificial intelligence is already transforming the increasingly connected world. According to Gartner, the number of organizations implementing AI technology has tripled in recent years. Healthcare is no exception. So, while different AI applications are used and function properly, what are the latest AI-based trends shaping the industry? Let’s check them.

Electronic Health Record (EHR)

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

However, since healthcare organizations must follow specific standards for electronic records (for example, the FHIR protocol), AI technology can recognize the data in the EHR platform and exchange it with other systems via APIs. Also, a great opportunity AI brings to EHRs is patient data interpretation, which allows for finding patterns and recommending diagnoses.

Virtual Reality (VR) & Augmented Reality (AR)

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.

Telemedicine

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.

Smart Wearables

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:

  • Remote patient monitoring
  • Early diagnostics
  • Fertility window predictions
  • Navigation for visually impaired people
  • Enhanced hearing aid
  • Everyday well-being improvements

Robotics Assistance

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

  • Conducting more straightforward procedures during surgeries (that allows practitioners to focus on more difficult operation tasks).
  • Helping medical personnel in their everyday responsibilities related to offering healthcare services.
  • Providing patients with the necessary rehabilitation after physical injuries.

Do you want to learn more about innovative AI applications in healthcare? Check out the article: The Innovative Applications of AI in Healthcare.

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SPsoft

SPsoft is a Managed Services Provider specializing in end-to-end software development: https://spsoft.com/