By: Kajal Singh RIG Inc Intern Researcher

Artificial Intelligence is the implementation of a machine that is capable of making decisions, solving problems, and other actions like a human brain. If we look back 10 years from now, no one would have ever dreamt about smart assistants like Alexa, Siri, and Cortana. From navigation and travel to smartphones, smart cars, and drones, Artificial Intelligence is influencing our lives daily; Finance, Healthcare, Agriculture, Education, no field has been left untouched.

Out of all the sectors, Healthcare is one in which Artificial Intelligence is buzzing. Artificial Intelligence utilizes medical data with patient’s history and deep learning algorithms. The introduction of neural networks and deep learning led to the development of complex algorithms which could handle multidimensional medical data. These algorithms have offered several advantages over traditional clinical decision making by learning or studying data, thus, letting humans comprehend the possible outcomes about diagnostics and treatment. There are numerous real-world examples for Artificial Intelligence in Healthcare, as you will see below.

Nuance – Nuance provides AI-powered solutions in different domains like Retail, Finance, Healthcare, Travel, Transportation etc. which acts as a bridge between organization and customer. This technology has been a helping hand to manage a large number of patient stories efficiently. It applies real-time intelligence on their data for better decision-making to meet customer needs.

Voxel Morph – Voxel Morph is a fast learning-based framework for deformable, pairwise medical image registration. An MRI contains a lot of information and takes at least 3 hours to complete. With the introduction of neural networks and deep learning, Voxel Morph was developed and trained on a dataset that generated MRI results for patients within seconds. It is a convolutional neural network with parameters optimized on a given set of images. These parameters assist in computing a deformation field and eventually generates outcomes.

Traditional MRI and AI-Enhanced MRI

Traditional diagnostic processes carry risks of infection as they depend on physical tissue samples. Experts predict that Artificial intelligence will replace the need for tissue samples in the future by equipping radiology tools making them more accurate and detailed.

Apple Watch –Apple is the world’s largest technology company by revenue. It released a masterpiece called Apple Watch which regularly keeps track of pulse rate, blood pressure, breathing rate, and sleep cycle. On sensing abrupt changes in pulse rate or any of the mentioned parameters, the device reports immediately to the user. Thus saving the person’s life if he/she is about to have a heart attack.

Abnormal Heart Rate Prediction by Apple Watch

Apart from these recognized tech companies, let’s talk about certain ongoing research which could provide breakthroughs in medicine.

Smartphone selfies can be used as a powerful diagnostic tool to identify diseases by analyzing the face. Researchers in the United Kingdom have developed an algorithm that can detect craniofacial abnormalities in a child through its jawline, eye, nose placement, and other attributes.

Drug discovery – The COVID 19 pandemic has adversely impacted the entire world and took many lives. The unavailability of the vaccine turned out to be disastrous. AI algorithms are being developed to generate new therapies from databases of existing diseases. This could prove as a solution during tough times of pandemic or epidemic by efficiently bringing new drugs in the market.

Artificial Intelligence has started to take a lead role in Healthcare. It is augmenting healthcare providers’ efforts by taking care of the patients and rapidly globalizing in the healthcare world. Due to this, there is an urgent need to take care of the data being used by Healthcare. Applying RIG’s Dynamic Trust with Artificial Intelligence in Healthcare could result in an efficient and robust secured system as it provides additional security. Most Impressive uses of Artificial Intelligence in Healthcare would be doing things that healthcare providers – even the excellent ones – cannot do yet. It is transforming the ways of interaction, consuming information etc. Considering the current impact of Artificial Intelligence on Healthcare, it is clear that it will tremendously help the Healthcare Industry in the future.






RIG’s Dynamic Trust Technical Vision Paper