3 Breakthrough Applications of Artificial Intelligence in Healthcare

Many industries have been improved by Artificial Intelligence innovations, and healthcare is not different. While we are still far away from AI-dependent healthcare, Artificial Intelligence is considerably improving things in this field at the moment.

Artificial Intelligence can make the lives of healthcare workers easier by performing repetitive tasks otherwise performed by humans in a timely and cost-effective manner. If used properly, it can help care providers in making a more accurate diagnosis and improve access to their services. This article will describe three AI applications in healthcare with the biggest potential.

Virtual Nursing Assistants

Artificial Intelligence is the driving force that changes the way of doing different things, and it is now leading large movements towards virtual nursing assistants that could save the US healthcare economy as much as $20 billion by 2026.

With a general lack of nursing staff, people prefer to get immediate medical assistance even from far away places through email, chat, or even video conference. That’s where virtual nursing assistants kick in — they are available 24/7, and they can monitor patients and provide quick answers.

The virtual nursing assistant can replicate the behavior of a nurse by assisting in answering questions related to daily health and wellness. Furthermore, it can keep expecting mothers aware of what to expect at every stage of pregnancy. Also, applications of virtual nursing assistants can gather data collection for analysis.

The virtual avatar could help chronically ill patients who spend their lives in and around healthcare facilities.

AI Can Aid Clinical Judgment and Reduce Error

According to the researchers from the University of John Hopkins, more than 250,000 medical errors happen every year in the US, which makes them the third leading cause of death, immediately after cancer and heart diseases. Artificial Intelligence can be an invaluable aid for doctors to predict and diagnose diseases.

Although using AI to diagnose patients has still been in its early stages, it is really promising. One study demonstrated that the AI algorithm, by using deep learning, diagnosed breast cancer at a better rate than multiple oncologists and pathologists.

Also, Danish AI software company tested its AI deep learning program by having an AI model eavesdrop while health dispatchers took emergency calls. The results of the test were mind-blowing — the AI algorithm analyzed the person’s tone of voice and background noise and managed to detect cardiac arrest with a 93% success rate. From diagnosing cancer to discovering infections, AI is undoubtedly doing wonders to reduce errors and save human lives.

Image Analysis

Images are the most significant source of data in healthcare and at the same time one of the most difficult sources to analyze. Physicians nowadays must mainly rely on medical image analysis performed by exhausted radiologists. This situation is going to change soon, as innovators from MIT developed an artificial intelligence algorithm that can analyze scan results at a stunning pace.

This incredible breakthrough can provide almost real-time assessments and aid surgeons on the operating table. Additionally, AI image analysis could support remote areas that are hardly accessible by healthcare workers.

Furthermore, the algorithm will help radiologists to cope with the ever-growing volumes of data captured by MRI, CT, PET, X-rays, and ultrasound. Also, the patients will benefit from advanced medical image analysis because they will no longer have to wait several weeks for the results of X-ray studies and the like.