As technologies continue to evolve with time, we are all getting to witness things that we could only think of or merely imagine until just a decade back. One of the technologies responsible for this change is Artificial Intelligence.

Artificial Intelligence has had a significant impact on various industries. In fact, it has changed the landscape of how certain things or operations are handled in a few industries. One of the top industries AI has played a crucial in enhancing is the healthcare domain.

In this blog post, we will discuss some of the best use cases of AI in healthcare.

Best Use cases of AI in Healthcare

Chat Bots

Artificial Intelligence is so advanced a technology that it increases primary care with the help of chatbots. Chatbots are an API or an application that offers immediate responses to make it easier for healthcare organizations to get in touch with patients.

Courtesy of chatbots, patients can save a significant amount of money by avoiding unnecessary trips to a medical practitioner. When they are implemented effectively, chatbots also help healthcare providers exceed the expectations of patients while also providing them a better outcome.

Chatbots encourage patients to share the details regarding their health proactively with a highly coordinated approach of connection. This allows medical practitioners to gauge the quality of care given to the patient, mitigation of costs, and patient satisfaction.

Digital human platforms that are equipped with integrations of IBM, Amazon, Google, and Microsoft, allow healthcare providers to create and deploy digital employees with much ease. Healthcare organizations can leverage digital humans as assistants to provide 24/7 care to patients.

Robotic Surgeries

Artificial Intelligence integrated into devices to create robots has brought about great changes in the field of surgery. These changes can be seen in terms of their speed and depth. Generally, the result of a surgery, particularly when it is a new or complex process can change with the skills of a surgeon.

AI utilization also minimizes case variations and improves the efficiency of the most skilled surgeons simultaneously. As these machines are precise, they resolve the probability of any accidental movements during surgery.

For example, AI-controlled robots offer a three-dimension articulation when they perform with better precision. They are known to execute acts of precision cutting.

Virtual Nursing Assistants

AI systems can enable virtual nursing assistants that are available 24/7. Be it interacting with patients to directing them to an effective or caring setting, virtual nursing assistants can help save millions of dollars for the healthcare industry.

These assistants can monitor patients, answer their questions, and also offer quick answers in real-time. Most of the use cases of virtual nursing assistants allow consistent communication between healthcare providers and patients.

Because this happens between patients’ office visits to their doctors, there is a lesser chance of unnecessary hospital visits or readmissions. AI-powered virtual assistants provide personalized experiences to patients and help them detect their illness depending on the symptoms apart from scheduling doctor appointments and monitoring of health status.

Virtual nursing assistants are applications that can guide you throughout the timeline of the treatment. This AI application can be adopted to improve patient engagement and also their self-management skills to avoid severe conditions from getting worse.

Precision Medicine

Precision medicine is one of the most prominent examples of AI in healthcare. It has a foundation that relies extensively on the large amounts of data that is gathered from various disruptive technological innovations like economical genome sequencing, biotechnology, and health sensors used by patients.

Precision medicine relies on advanced algorithms that support deep learning. It also uses the cognitive abilities of physicians at a different scale. Recently, Intel has developed a deep learning algorithm that can identify multiple patients with a certain medical condition offering more than 80% accuracy.

Google’s DeepMind and Watson from IBM are precision medicines that are known to be leaders in the mining of medical records. The purpose here is to create a cognitive assistant that is armed with a range of clinical knowledge that is beyond reasoning and analytical capabilities.

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